35 Machine Learning Engineer jobs in Australia
Machine Learning Engineer, Generative AI Innovation Center
Melbourne, Victoria
Amazon
Posted today
Job Viewed
Job Description
Description
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.
Key job responsibilities
- Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
- LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
- Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
- Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
A day in the life
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
What if I don't meet all the requirements?
That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of Industry (non-internship) design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
- Hands-on experience with generative AI technology
Preferred Qualifications
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.
Key job responsibilities
- Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
- LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
- Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
- Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
A day in the life
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
What if I don't meet all the requirements?
That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of Industry (non-internship) design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
- Hands-on experience with generative AI technology
Preferred Qualifications
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer - Senior / Principal/ Senior Principal
Oracle
Posted 2 days ago
Job Viewed
Job Description
**Job Description**
Oracle Health AI (OHAI) is at the forefront of transforming healthcare through advanced artificial intelligence and machine learning technologies. Our mission is to leverage Oracle's leading cloud infrastructure, data assets, and deep healthcare expertise to create intelligent solutions that improve patient outcomes, streamline clinical workflows, and empower healthcare organizations worldwide. By integrating generative AI with robust data platforms, OHAI is building next-generation products that enable smarter, faster, and more personalized healthcare experiences - for providers, payers, and patients alike. Join us on our journey to bring cutting-edge technology to some of the world's most meaningful and impactful challenges in healthcare.
**Qualifications and Experience** :
+ 3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.
+ Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.
+ Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.
+ Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.
+ Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.
+ Proven experience in coaching teams on engineering practices and PR reviews.
+ Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.
**Preferred Qualifications:**
+ Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.
+ Having referrable products delivered before is a significant plus.
**Education** :
+ Masters or bachelor's in computer science or related field with 3-5 or 5+ years relevant experience
**Responsibilities**
**Responsibilities** :
+ **AI Product Development:** Partner with product managers to translate business and healthcare requirements into actionable AI projects.
+ **Technical Leadership:** Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.
+ **Cross-Functional Collaboration:** Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.
+ **Project Delivery:** Drive projects from concept to production, participating in planning, review, and retrospective meetings.
+ **System Architecture and Infrastructure** : Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources.
+ **Deployment and Monitoring** : Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health.
+ **API and Service Engineering** : Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities.
+ **Development Workflow and Tooling** : Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle.
+ **Software Engineering Best Practices** : Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems.
+ **Hands-on Programming and Code Review** : Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness.
+ **Mentorship:** Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Oracle Health AI (OHAI) is at the forefront of transforming healthcare through advanced artificial intelligence and machine learning technologies. Our mission is to leverage Oracle's leading cloud infrastructure, data assets, and deep healthcare expertise to create intelligent solutions that improve patient outcomes, streamline clinical workflows, and empower healthcare organizations worldwide. By integrating generative AI with robust data platforms, OHAI is building next-generation products that enable smarter, faster, and more personalized healthcare experiences - for providers, payers, and patients alike. Join us on our journey to bring cutting-edge technology to some of the world's most meaningful and impactful challenges in healthcare.
**Qualifications and Experience** :
+ 3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.
+ Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.
+ Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.
+ Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.
+ Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.
+ Proven experience in coaching teams on engineering practices and PR reviews.
+ Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.
**Preferred Qualifications:**
+ Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.
+ Having referrable products delivered before is a significant plus.
**Education** :
+ Masters or bachelor's in computer science or related field with 3-5 or 5+ years relevant experience
**Responsibilities**
**Responsibilities** :
+ **AI Product Development:** Partner with product managers to translate business and healthcare requirements into actionable AI projects.
+ **Technical Leadership:** Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.
+ **Cross-Functional Collaboration:** Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.
+ **Project Delivery:** Drive projects from concept to production, participating in planning, review, and retrospective meetings.
+ **System Architecture and Infrastructure** : Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources.
+ **Deployment and Monitoring** : Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health.
+ **API and Service Engineering** : Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities.
+ **Development Workflow and Tooling** : Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle.
+ **Software Engineering Best Practices** : Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems.
+ **Hands-on Programming and Code Review** : Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness.
+ **Mentorship:** Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
This advertiser has chosen not to accept applicants from your region.
1
Senior / Principal/ Senior Principal Machine Learning Engineer
Oracle
Posted 7 days ago
Job Viewed
Job Description
**Job Description**
Oracle Health AI (OHAI) is at the forefront of transforming healthcare through advanced artificial intelligence and machine learning technologies. Our mission is to leverage Oracle's leading cloud infrastructure, data assets, and deep healthcare expertise to create intelligent solutions that improve patient outcomes, streamline clinical workflows, and empower healthcare organizations worldwide. By integrating generative AI with robust data platforms, OHAI is building next-generation products that enable smarter, faster, and more personalized healthcare experiences - for providers, payers, and patients alike. Join us on our journey to bring cutting-edge technology to some of the world's most meaningful and impactful challenges in healthcare.
**Qualifications and Experience** :
+ 3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.
+ Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.
+ Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.
+ Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.
+ Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.
+ Proven experience in coaching teams on engineering practices and PR reviews.
+ Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.
**Preferred Qualifications:**
+ Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.
+ Having referrable products delivered before is a significant plus.
**Education** :
+ Masters or bachelor's in computer science or related field with 3-5 or 5+ years relevant experience
**Responsibilities**
**Responsibilities** :
+ **AI Product Development:** Partner with product managers to translate business and healthcare requirements into actionable AI projects.
+ **Technical Leadership:** Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.
+ **Cross-Functional Collaboration:** Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.
+ **Project Delivery:** Drive projects from concept to production, participating in planning, review, and retrospective meetings.
+ **System Architecture and Infrastructure** : Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources.
+ **Deployment and Monitoring** : Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health.
+ **API and Service Engineering** : Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities.
+ **Development Workflow and Tooling** : Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle.
+ **Software Engineering Best Practices** : Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems.
+ **Hands-on Programming and Code Review** : Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness.
+ **Mentorship:** Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.
#LI-DNI
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Oracle Health AI (OHAI) is at the forefront of transforming healthcare through advanced artificial intelligence and machine learning technologies. Our mission is to leverage Oracle's leading cloud infrastructure, data assets, and deep healthcare expertise to create intelligent solutions that improve patient outcomes, streamline clinical workflows, and empower healthcare organizations worldwide. By integrating generative AI with robust data platforms, OHAI is building next-generation products that enable smarter, faster, and more personalized healthcare experiences - for providers, payers, and patients alike. Join us on our journey to bring cutting-edge technology to some of the world's most meaningful and impactful challenges in healthcare.
**Qualifications and Experience** :
+ 3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.
+ Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.
+ Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.
+ Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.
+ Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.
+ Proven experience in coaching teams on engineering practices and PR reviews.
+ Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.
**Preferred Qualifications:**
+ Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.
+ Having referrable products delivered before is a significant plus.
**Education** :
+ Masters or bachelor's in computer science or related field with 3-5 or 5+ years relevant experience
**Responsibilities**
**Responsibilities** :
+ **AI Product Development:** Partner with product managers to translate business and healthcare requirements into actionable AI projects.
+ **Technical Leadership:** Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.
+ **Cross-Functional Collaboration:** Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.
+ **Project Delivery:** Drive projects from concept to production, participating in planning, review, and retrospective meetings.
+ **System Architecture and Infrastructure** : Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources.
+ **Deployment and Monitoring** : Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health.
+ **API and Service Engineering** : Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities.
+ **Development Workflow and Tooling** : Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle.
+ **Software Engineering Best Practices** : Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems.
+ **Hands-on Programming and Code Review** : Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness.
+ **Mentorship:** Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.
#LI-DNI
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
This advertiser has chosen not to accept applicants from your region.
2
Senior / Principal Machine Learning Engineer - Oracle Health and AI
Oracle
Posted 15 days ago
Job Viewed
Job Description
**Job Description**
At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.
Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.
As our Senior / Principal ML Engineer, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in building applications leveraging Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.
Career Level - IC3 & IC4
**Responsibilities**
**Responsibilities:**
+ Collaborate with internal teams or external vendors to collect and curate high-quality data for training and testing AI models.
+ Rapidly develop AI-based prototypes and demos to showcase solutions and ideas to stakeholders, incorporating their feedback into future development iterations.
+ Define and implement sophisticated evaluation metrics to measure and analyze model performance.
+ Run experiments and optimize models through hyperparameter tuning to achieve peak performance.
+ Conduct quantitative and qualitative analysis, including error analysis and ablation studies, to enhance model development and data quality.
+ Prepare detailed reports with evidence-based insights to support strategic decision-making.
+ Work closely with team members to ensure successful and timely model delivery and service integration.
+ Develop innovative healthcare and enterprise services by leveraging the latest advancements in generative AI, machine learning, and deep learning.
+ Participate actively in project planning, review, and retrospective sessions.
+ Write production-grade code, advocate for best coding practices, and conduct peer reviews to maintain high engineering standards.
**Qualifications and Experience:**
+ Proven experience designing and deploying scalable AI models for production environments, with a successful track record of applying AI in real-world applications. Experience building applications using Large Language Models (LLMs) is a strong advantage.
+ Demonstrated hands-on experience in full-stack development of generative AI models, from data preparation to model deployment, ensuring end-to-end AI system functionality.
+ Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
+ Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
+ Strong collaboration skills with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into broader systems and deliver impactful results.
+ Demonstrated experience in optimizing, scaling, and monitoring AI systems in production environments, ensuring models meet performance, reliability, and scalability requirements.
**Preferred Qualifications:**
+ Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
+ Familiarity with the latest advancements in computer vision and multimodal modeling is a valuable plus.
+ Familiarity with UI/UX development is a plus, helping to bridge the gap between AI models and end-user applications, ensuring AI solutions are user-friendly and deliver excellent user experiences.
**Education:**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
#LI-DNI
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.
Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.
As our Senior / Principal ML Engineer, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in building applications leveraging Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.
Career Level - IC3 & IC4
**Responsibilities**
**Responsibilities:**
+ Collaborate with internal teams or external vendors to collect and curate high-quality data for training and testing AI models.
+ Rapidly develop AI-based prototypes and demos to showcase solutions and ideas to stakeholders, incorporating their feedback into future development iterations.
+ Define and implement sophisticated evaluation metrics to measure and analyze model performance.
+ Run experiments and optimize models through hyperparameter tuning to achieve peak performance.
+ Conduct quantitative and qualitative analysis, including error analysis and ablation studies, to enhance model development and data quality.
+ Prepare detailed reports with evidence-based insights to support strategic decision-making.
+ Work closely with team members to ensure successful and timely model delivery and service integration.
+ Develop innovative healthcare and enterprise services by leveraging the latest advancements in generative AI, machine learning, and deep learning.
+ Participate actively in project planning, review, and retrospective sessions.
+ Write production-grade code, advocate for best coding practices, and conduct peer reviews to maintain high engineering standards.
**Qualifications and Experience:**
+ Proven experience designing and deploying scalable AI models for production environments, with a successful track record of applying AI in real-world applications. Experience building applications using Large Language Models (LLMs) is a strong advantage.
+ Demonstrated hands-on experience in full-stack development of generative AI models, from data preparation to model deployment, ensuring end-to-end AI system functionality.
+ Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
+ Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
+ Strong collaboration skills with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into broader systems and deliver impactful results.
+ Demonstrated experience in optimizing, scaling, and monitoring AI systems in production environments, ensuring models meet performance, reliability, and scalability requirements.
**Preferred Qualifications:**
+ Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
+ Familiarity with the latest advancements in computer vision and multimodal modeling is a valuable plus.
+ Familiarity with UI/UX development is a plus, helping to bridge the gap between AI models and end-user applications, ensuring AI solutions are user-friendly and deliver excellent user experiences.
**Education:**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
#LI-DNI
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
This advertiser has chosen not to accept applicants from your region.
3
Machine learning and artificial intelligence and environmental
4742 Nebo, Queensland
PhDFinder
Posted today
Job Viewed
Job Description
This position is no longer available.
University: Universitat Politècnica de Catalunya
Country: Spain
Deadline: Not specified
Fields: Computer Science, Data Science, Electrical Engineering, Environmental Science, Applied Mathematics
The SANS research group (Statistical Analysis of Networks and Systems) at the Universitat Politècnica de Catalunya (UPC) invites applications for a competitive 3-year PhD fellowship within the Computer Architecture PhD track. This opportunity is aimed at highly motivated candidates interested in developing advanced Machine Learning and Artificial Intelligence algorithms for the analysis of Internet of Things (IoT) data, with real-world applications in air pollution monitoring, climate change, digital twins, and related areas.
Successful candidates will have the opportunity to work with large-scale, real-world datasets collected from state-of-the-art IoT monitoring systems and participate in experimental deployments designed to maximize the societal and environmental impact of their research.
Requirements
– Demonstrated motivation to apply mathematical and computational methods to address real-world challenges
– Interest in data-driven research with significant environmental and societal implications
– Strong background in a relevant field (e.g., computer science, engineering, mathematics, environmental science)
– Excellent analytical and problem-solving skills
The position is based in Barcelona, Spain, and offers a pre-doctoral contract for three years.
For additional information, please visit: />
Also See
- Ireland – Fully Funded PhD in Environmental Economics at University of Galway
- MSc and PhD Opportunities in AI, Image Processing, and IoT at University of Manitoba
- Fully Funded PhD and MS Positions in Structural Health Monitoring at UTRGV
- Switzerland – PhD in Environmental Engineering at Eawag/ETH Zurich
- Fully Funded PhD Position in Edge AI and Sustainable Computing at University of Vienna
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
This advertiser has chosen not to accept applicants from your region.
4
Data scientist, australia - bcg x
Sydney, New South Wales
Boston Consulting Group
Posted 1 day ago
Job Viewed
Job Description
Locations: Sydney PerthWho We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Preferably master's degree or bachelor's in computer science, data science, mathematics, statistics, engineering, or a related field1-3 years of relevant work experience in data science, machine learning, artificial intelligence, or big dataProficiency in Python and other programming languages and tools for data analysis and machine learningExperience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
This advertiser has chosen not to accept applicants from your region.
5
Data scientist, australia - bcg x
Perth, Western Australia
Boston Consulting Group
Posted 1 day ago
Job Viewed
Job Description
Locations: Sydney PerthWho We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Preferably master's degree or bachelor's in computer science, data science, mathematics, statistics, engineering, or a related field1-3 years of relevant work experience in data science, machine learning, artificial intelligence, or big dataProficiency in Python and other programming languages and tools for data analysis and machine learningExperience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
This advertiser has chosen not to accept applicants from your region.
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6
AI Engineer
Sydney, New South Wales
Avanade Inc.
Posted 23 days ago
Job Viewed
Job Description
AI Engineer
Leading organizations - corporations, non-profits, government departments, look to Avanade to help them make the most of their investment in Microsoft and to push the boundaries of digital innovation. The result? Interesting work that is well supported, always evolving and sure to keep you engaged and interested. Together we go beyond.
Come join us
As an Azure AI Engineer at Avanade, you will leverage extensive knowledge of Azure AI services to enhance client business processes. You will be responsible for implementing solutions that incorporate Azure AI services, ensuring the alignment of these technologies with business goals. Your role involves designing, building, and maintaining scalable AI solutions that integrate seamlessly with client environments.
What you'll do
* Implement Azure AI services according to the client's business and technical requirements.
* Engage with clients to translate business requirements into robust and scalable AI solutions.
* Design and deploy machine learning workflows and ensure seamless integration with Azure data services.
* Develop APIs for AI models to be consumed in client applications.
* Conduct ongoing maintenance and updates to AI implementations.
* Collaborate with team members to innovate on current methodologies and enhance productivity.
* Prepare technical documentation and system architecture diagrams to support development and deployment strategies.
* Travel as required.
Skills and experiences
Your technical and non-technical skills include:
* Proficiency in Microsoft Azure AI Services, including Azure ML, Azure Cognitive Services, Azure Bot Services, AI Foundry, and Copilot Studio
* Experience with modern AI frameworks (LangChain, Semantic Kernel, Transformers) and RAG implementation using vector databases; knowledge of other cloud platforms like AWS and Google Cloud is beneficial.
* Experience with machine learning algorithms, large language models, data structure design, and open-source frameworks.
* Programming skills in Python, R, JavaScript or .NET, with an emphasis on the adaptability of these skills to various AI and machine learning projects.
* Experience in data integration and architecture solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake; familiarity with similar tools on other platforms is advantageous.
* Ability to implement AI insights using Microsoft Power BI, with interest in learning or using similar tools on other platforms.
About you
* Excellent problem-solving and analytical skills, capable of tackling complex challenges in AI.
* Strong communication and interpersonal skills, effective in both technical explanations and collaborative contexts.
* Able to work independently or as part of a team, adapting to different project needs and environments.
Education & Certifications:
You likely possess a BSc or MSc degree in Computer Science, Engineering, Mathematics, or another relevant field. An equivalent combination of education and experience will also suffice.
You likely possess a certification in one or more of the following:
* Azure AI Engineer Associate (AI-102)
* Azure Data Scientist Associate (DP-100)
Enjoy your career
Some of the best things about working at Avanade:
* Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
* Real-time access to technical and skilled resources globally
* Dedicated career advisor to encourage your growth
* Engaged and helpful coworkers genuinely interested in you
Find out more about some of our benefits here ((1) great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look! Together we do what matters.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page ((2) a future for our people that focuses on:
* Expanding your thinking
* Experimenting courageously
* Learning and pivoting
Inspire greatness in our people by:
* Empowering every voice
* Encouraging boldness
* Celebrating progress
Accelerate the impact of our people by:
* Amazing the client
* Prioritizing what matters
* Acting as one
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
Leading organizations - corporations, non-profits, government departments, look to Avanade to help them make the most of their investment in Microsoft and to push the boundaries of digital innovation. The result? Interesting work that is well supported, always evolving and sure to keep you engaged and interested. Together we go beyond.
Come join us
As an Azure AI Engineer at Avanade, you will leverage extensive knowledge of Azure AI services to enhance client business processes. You will be responsible for implementing solutions that incorporate Azure AI services, ensuring the alignment of these technologies with business goals. Your role involves designing, building, and maintaining scalable AI solutions that integrate seamlessly with client environments.
What you'll do
* Implement Azure AI services according to the client's business and technical requirements.
* Engage with clients to translate business requirements into robust and scalable AI solutions.
* Design and deploy machine learning workflows and ensure seamless integration with Azure data services.
* Develop APIs for AI models to be consumed in client applications.
* Conduct ongoing maintenance and updates to AI implementations.
* Collaborate with team members to innovate on current methodologies and enhance productivity.
* Prepare technical documentation and system architecture diagrams to support development and deployment strategies.
* Travel as required.
Skills and experiences
Your technical and non-technical skills include:
* Proficiency in Microsoft Azure AI Services, including Azure ML, Azure Cognitive Services, Azure Bot Services, AI Foundry, and Copilot Studio
* Experience with modern AI frameworks (LangChain, Semantic Kernel, Transformers) and RAG implementation using vector databases; knowledge of other cloud platforms like AWS and Google Cloud is beneficial.
* Experience with machine learning algorithms, large language models, data structure design, and open-source frameworks.
* Programming skills in Python, R, JavaScript or .NET, with an emphasis on the adaptability of these skills to various AI and machine learning projects.
* Experience in data integration and architecture solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake; familiarity with similar tools on other platforms is advantageous.
* Ability to implement AI insights using Microsoft Power BI, with interest in learning or using similar tools on other platforms.
About you
* Excellent problem-solving and analytical skills, capable of tackling complex challenges in AI.
* Strong communication and interpersonal skills, effective in both technical explanations and collaborative contexts.
* Able to work independently or as part of a team, adapting to different project needs and environments.
Education & Certifications:
You likely possess a BSc or MSc degree in Computer Science, Engineering, Mathematics, or another relevant field. An equivalent combination of education and experience will also suffice.
You likely possess a certification in one or more of the following:
* Azure AI Engineer Associate (AI-102)
* Azure Data Scientist Associate (DP-100)
Enjoy your career
Some of the best things about working at Avanade:
* Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
* Real-time access to technical and skilled resources globally
* Dedicated career advisor to encourage your growth
* Engaged and helpful coworkers genuinely interested in you
Find out more about some of our benefits here ((1) great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look! Together we do what matters.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page ((2) a future for our people that focuses on:
* Expanding your thinking
* Experimenting courageously
* Learning and pivoting
Inspire greatness in our people by:
* Empowering every voice
* Encouraging boldness
* Celebrating progress
Accelerate the impact of our people by:
* Amazing the client
* Prioritizing what matters
* Acting as one
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
This advertiser has chosen not to accept applicants from your region.
7
AI Engineer
Melbourne, Victoria
Avanade Inc.
Posted 23 days ago
Job Viewed
Job Description
AI Engineer
Leading organizations - corporations, non-profits, government departments, look to Avanade to help them make the most of their investment in Microsoft and to push the boundaries of digital innovation. The result? Interesting work that is well supported, always evolving and sure to keep you engaged and interested. Together we go beyond.
Come join us
As an Azure AI Engineer at Avanade, you will leverage extensive knowledge of Azure AI services to enhance client business processes. You will be responsible for implementing solutions that incorporate Azure AI services, ensuring the alignment of these technologies with business goals. Your role involves designing, building, and maintaining scalable AI solutions that integrate seamlessly with client environments.
What you'll do
* Implement Azure AI services according to the client's business and technical requirements.
* Engage with clients to translate business requirements into robust and scalable AI solutions.
* Design and deploy machine learning workflows and ensure seamless integration with Azure data services.
* Develop APIs for AI models to be consumed in client applications.
* Conduct ongoing maintenance and updates to AI implementations.
* Collaborate with team members to innovate on current methodologies and enhance productivity.
* Prepare technical documentation and system architecture diagrams to support development and deployment strategies.
* Travel as required.
Skills and experiences
Your technical and non-technical skills include:
* Proficiency in Microsoft Azure AI Services, including Azure ML, Azure Cognitive Services, Azure Bot Services, AI Foundry, and Copilot Studio
* Experience with modern AI frameworks (LangChain, Semantic Kernel, Transformers) and RAG implementation using vector databases; knowledge of other cloud platforms like AWS and Google Cloud is beneficial.
* Experience with machine learning algorithms, large language models, data structure design, and open-source frameworks.
* Programming skills in Python, R, JavaScript or .NET, with an emphasis on the adaptability of these skills to various AI and machine learning projects.
* Experience in data integration and architecture solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake; familiarity with similar tools on other platforms is advantageous.
* Ability to implement AI insights using Microsoft Power BI, with interest in learning or using similar tools on other platforms.
About you
* Excellent problem-solving and analytical skills, capable of tackling complex challenges in AI.
* Strong communication and interpersonal skills, effective in both technical explanations and collaborative contexts.
* Able to work independently or as part of a team, adapting to different project needs and environments.
Education & Certifications:
You likely possess a BSc or MSc degree in Computer Science, Engineering, Mathematics, or another relevant field. An equivalent combination of education and experience will also suffice.
You likely possess a certification in one or more of the following:
* Azure AI Engineer Associate (AI-102)
* Azure Data Scientist Associate (DP-100)
Enjoy your career
Some of the best things about working at Avanade:
* Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
* Real-time access to technical and skilled resources globally
* Dedicated career advisor to encourage your growth
* Engaged and helpful coworkers genuinely interested in you
Find out more about some of our benefits here ((1) great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look! Together we do what matters.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page ((2) a future for our people that focuses on:
* Expanding your thinking
* Experimenting courageously
* Learning and pivoting
Inspire greatness in our people by:
* Empowering every voice
* Encouraging boldness
* Celebrating progress
Accelerate the impact of our people by:
* Amazing the client
* Prioritizing what matters
* Acting as one
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
Leading organizations - corporations, non-profits, government departments, look to Avanade to help them make the most of their investment in Microsoft and to push the boundaries of digital innovation. The result? Interesting work that is well supported, always evolving and sure to keep you engaged and interested. Together we go beyond.
Come join us
As an Azure AI Engineer at Avanade, you will leverage extensive knowledge of Azure AI services to enhance client business processes. You will be responsible for implementing solutions that incorporate Azure AI services, ensuring the alignment of these technologies with business goals. Your role involves designing, building, and maintaining scalable AI solutions that integrate seamlessly with client environments.
What you'll do
* Implement Azure AI services according to the client's business and technical requirements.
* Engage with clients to translate business requirements into robust and scalable AI solutions.
* Design and deploy machine learning workflows and ensure seamless integration with Azure data services.
* Develop APIs for AI models to be consumed in client applications.
* Conduct ongoing maintenance and updates to AI implementations.
* Collaborate with team members to innovate on current methodologies and enhance productivity.
* Prepare technical documentation and system architecture diagrams to support development and deployment strategies.
* Travel as required.
Skills and experiences
Your technical and non-technical skills include:
* Proficiency in Microsoft Azure AI Services, including Azure ML, Azure Cognitive Services, Azure Bot Services, AI Foundry, and Copilot Studio
* Experience with modern AI frameworks (LangChain, Semantic Kernel, Transformers) and RAG implementation using vector databases; knowledge of other cloud platforms like AWS and Google Cloud is beneficial.
* Experience with machine learning algorithms, large language models, data structure design, and open-source frameworks.
* Programming skills in Python, R, JavaScript or .NET, with an emphasis on the adaptability of these skills to various AI and machine learning projects.
* Experience in data integration and architecture solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake; familiarity with similar tools on other platforms is advantageous.
* Ability to implement AI insights using Microsoft Power BI, with interest in learning or using similar tools on other platforms.
About you
* Excellent problem-solving and analytical skills, capable of tackling complex challenges in AI.
* Strong communication and interpersonal skills, effective in both technical explanations and collaborative contexts.
* Able to work independently or as part of a team, adapting to different project needs and environments.
Education & Certifications:
You likely possess a BSc or MSc degree in Computer Science, Engineering, Mathematics, or another relevant field. An equivalent combination of education and experience will also suffice.
You likely possess a certification in one or more of the following:
* Azure AI Engineer Associate (AI-102)
* Azure Data Scientist Associate (DP-100)
Enjoy your career
Some of the best things about working at Avanade:
* Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
* Real-time access to technical and skilled resources globally
* Dedicated career advisor to encourage your growth
* Engaged and helpful coworkers genuinely interested in you
Find out more about some of our benefits here ((1) great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look! Together we do what matters.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page ((2) a future for our people that focuses on:
* Expanding your thinking
* Experimenting courageously
* Learning and pivoting
Inspire greatness in our people by:
* Empowering every voice
* Encouraging boldness
* Celebrating progress
Accelerate the impact of our people by:
* Amazing the client
* Prioritizing what matters
* Acting as one
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
This advertiser has chosen not to accept applicants from your region.
8
Founding AI Engineer
2000 Sydney, New South Wales
indi
Posted 13 days ago
Job Viewed
Job Description
This is a Founding AI Engineer role with indi based in Sydney, NSW, AU
== indi ==
Role Seniority - senior
More about the Founding AI Engineer role at indi
Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the indi team will be there to support your growth.
== indi ==
Role Seniority - senior
More about the Founding AI Engineer role at indi
Founding AI Engineer
Full time, Sydney. (Aus HQ, global product)
Team: Early team, working directly with founders and engineers / designer
Why this role matters
As our founding AI hire, you’ll not only shape our product, but also lay the foundations for how we handle data, design experiments, and deliver AI responsibly. indi only works if families and clinicians can trust the intelligence we deliver. You’ll shape our culture of engineering and help us build a system that is as reliable as it is innovative.
Spike: We’re not just looking for someone who can play with models, but someone who has the rare ability to bridge research and production: transforming unstructured, messy real-world data into trustworthy, production-ready intelligence. This is about building AI that both innovative and reliable because of rapid prototyping and rigorous evaluation.
This is a founding role. In addition to salary, we offer meaningful equity to reflect the ownership and long-term impact of this position. You will work closely in a team with 4 other stars (including the CTO + CEO), joining a founding team who have successfully raised, built and scaled tech from SafetyCulture, Aus, to LVL (Health-tech), Dubai. With the speed of build, funding and execution we have already created at indi we’re on track to be the category leader in Australia, taking that impact globally and your work will scale us there.
About indi
indi is the shared AI co-pilot for child development - built to support the parents, carers, and clinicians navigating complex health journeys with kids who don’t fit the mould.
We take messy, unstructured real-life data and turn it into a structured, living record of a child - one that can be visualised, shared, and actioned by everyone in their world. From that single source of truth, Indi generates custom artefacts and communication tools tailored to each part of the care team: educators, therapists, doctors, support workers. This unlocks clarity, coordination, and earlier intervention. At the same time, we’re building Indi as a true companion for parents - helping reduce the mental load, support emotional wellbeing, and remind them they’re not in this alone.
We’re a lean, fast-moving team based in Melbourne & Sydney, building hand-in-hand with the families and clinicians we serve. Our culture is high-trust, low-ego, and unapologetically mission-led. We hire people who care - about impact, pace, and doing their best work in an environment that values initiative, inclusion, and humanity. We’re not building a typical startup team. We’re building one that feels like Indi: diverse, kind, emotionally intelligent, and bold enough to redesign the system, not just digitise it.
We’re looking for a founding AI engineer who can bridge AI research and real-world product building . You might call yourself a data scientist, ML engineer, or AI engineer, what matters is you’re excited to experiment with data and models and turn those experiments into scalable, reliable features.
What you’ll do
Be the cornerstone of AI in the founding team , working deeply with our Product Designer to raise the bar on what an AI-native user experience can be. It’s not about deploying AI because we can, we need you to co-create seamless, human-centred interactions.
Build the backend infrastructure and tooling needed to productionise these models in a safe, compliant, and scalable way.
Shape how indi delivers intelligence and trust, from experiments through to deploying the frontier of AI-driven product into parents’ and practitioners hands.
Prototype and evaluate new AI capabilities, working with messy real-world data from families and clinicians.
Set the tone for our engineering culture: balancing exploration with rigour, and speed with safety.
In your first month, deliver two big wins:
Ship a working AI-backed prototype (on top of our conversational, data-driven experience) that demonstrates value to parents or practitioners.
Stand up the foundational pipeline/tooling needed to safely iterate and scale AI features beyond prototypes.
Our stack includes
Python, Supabase, React/Next.js, ReactNative
Cloud infra (Fly.io, Docker, Postgres)
AI tooling (LangGraph, OpenAI API, custom evals)
You may be a good fit if you:
Are excited about AI-native applications that challenge how parents navigate developmental journeys for their kids - to enable not replace allied health and paediatric care.
Get thrills out of refining your own AI workflows and experimenting with techniques that 10x your building speed and creativity
Have deployed frontier AI-native products, custom models and evals.
Care about the societal impacts and ethics of your work
This is not a “learn on the job” opportunity you’re ready to hit the ground running with real skills and shipped work behind you.
Show, don’t tell: if you’ve got an AI project that demonstrates your skills, we’ll give you space in the interview to showcase it. Don’t just say you’re awesome. Show us your uniqueness .
Strong candidates may also have experience with:
Experience developing for health, education, or family-focused products. Or a lternatively, experience in adjacent industries where trust, clarity, and long-term engagement are critical (e.g. fintech, mental health, wellbeing, or government services).
Background in Data Science / ML to drive product and experience through insight.
Bring deep expertise in AI tooling (TensorFlow, LangChain, etc.) and a habit of staying ahead of the latest model releases.
Navigating the dynamics of an early-stage startup: balancing speed with rigour, thriving in ambiguity, and shaping both culture and process.
Diversity + inclusion
Voluntary Self-Identification
At indi, we’re building a team that reflects the families we serve: diverse in background, identity, and lived experience. Part of that commitment means making sure our hiring process is fair and inclusive.
Our promise: Indi is unapologetically mission-led. We believe the same diversity that makes every child unique is what makes our team stronger. Sharing your identity is always your choice.
We’re looking for an amazing AI Engineer and never want work life balance to be a barrier. If you’re an amazing AI Engineer and need flexibility we’re still open to chat. We’re built by parents that get it.
This is a full-time role - but if 3 or 4 days a week works better for your life, we’re open to that.
We care more about finding the right person than strict hours, and we know some of the best talent doesn’t always fit a full-time mould. If that’s you, apply anyway - we’d love to chat.
Apply at:
Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the indi team will be there to support your growth.
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