20 Machine Learning Engineer jobs in Australia

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.

**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.

**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.

Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C+- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS
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.

Description
Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems?
As an Applied Scientist Intern, you will based in Amazon's Melbourne office working in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products.
Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.
Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Machine Learning and Information Retrieval
- Contribute to research that could significantly impact Amazon operations
- Collaborate with a diverse team of experts in a fast-paced environment
- Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR
- Present your research findings to both technical and non-technical audiences
Key Opportunities:
- Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon
- Access to Amazon services and hardware
- Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems
- Potentially deliver solutions to production in customer-facing applications
- Opportunities to be hired full-time after the internship
Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!
Basic Qualifications
- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Information Retrieval, Recommender Systems, or Machine Learning
- Strong programming skills, e.g. Python and DL frameworks
Preferred Qualifications
- Research experience in Deep Learning, Recommender Systems, Information Retrieval, or broader Machine Learning.
- Publications in top-tier conferences, e.g. NeurIPS, ICML, ICLR, KDD, SIGIR, RecSys
- Experience with handling large datasets and distributed computing, e.g. Spark
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.

• Position to be based at La Trobe Melbourne Campus.
• An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend.
  
  

The Position

This prestigious La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an outstanding applicant interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning.

The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective individualized cancer care plans. Coding and user interface development skills will be developed.

This scholarship is open only to Australian citizens, Australian permanent residents, or New Zealand special category visa holders. The Expression of Interest will remain open until the positions are filled.

Benefits Of The Scholarship Include

• a stipend scholarship for three and a half years, with a value of $40,000 per annum (pro-rata), to support your living costs.
• a fee-relief scholarship for up to four years.
• opportunities to work with La Trobe’s outstanding researchers in state-of-the-art laboratories and have access to our suite of professional development programs.
• a collaborative project, including time spent with the Olivia Newton-John Cancer Research Institute and CSIRO.
• opportunities to travel to conferences in Australia and overseas.
  
  

Eligibility Criteria

To be eligible to apply for this scholarship, applicants must:

• be Australian citizens, Australian permanent residents, or New Zealand special category visa holders (strict requirement).
• meet the entrance requirements for the Doctor of Philosophy.
• should they be selected, agree to be enrolled full-time and undertaking their research at the La Trobe University Melbourne (Bundoora) campus.
  
  

In selecting successful applicants, we prioritise applications from candidates who:

• have an outstanding record of prior performance.
• have completed a Masters by Research or other significant body of research, such as an honours research thesis or lead authorship of a peer-reviewed publication, assessed at a La Trobe Masters by research standard of 75 or above.
• have outstanding grounding in one or more relevant disciplines including cancer biology, cancer medicine, physics, chemistry, , engineering, machine learning / data science, coding.
  
  

How To Apply

This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information via email to :

• current academic transcript including Masters / Honours grades (or note completion date).
• a statement outlining:
• their motivation and suitability for this opportunity;
• their specific skills and experience and how these are relevant to the PhD project;
• how this opportunity fits with their career plans.
• a statement confirming that you are currently an Australian citizen, Australian permanent resident, or New Zealand special category visa holder.
  
  

Shortlisted applicants will be required to attend an interview and may be asked to participate in further evaluation activities.

The successful applicant will be required to have a working with children check (WWCC) prior to commencing the position, to be paid for by the applicant.

The University will carefully review and consider your expression of interest for this scholarship. Successful candidates will be invited to submit a full application for candidature and scholarship.

See Also

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Who To Contact For Further Information

Professor Paul Pigram,

Closing date for applications: Indefinite

Scholarship code: SRS-25030

**Overview**
Are you curious, passionate about AI and cloud technologies, and excited by the opportunity to solve complex challenges in a fast-paced environment? If so, we invite you to join Microsoft as a Cloud & AI Solution Engineer.
We are hiring multiple roles across our Infrastructure and AI Applications teams in Perth, Melbourne, Brisbane, and Canberra. In these roles, you'll be at the forefront of projects that harness the latest technologies to help customers modernize applications, adopt AI at scale, and transform their businesses.
As a Solution Engineer, you'll work side-by-side with customers and partners to design and deploy secure, scalable, AI-powered solutions. You'll engage in hands-on activities such as proof of concepts, hackathons, and architecture workshops, while providing trusted technical guidance on the use of Azure AI, AI Foundry, Responsible AI, and Microsoft's cloud platform.
This is a unique opportunity to accelerate your career, deepen your technical expertise, and shape the future of AI applications. Join a team that thrives on collaboration, creativity, and continuous learning, while making a meaningful impact with customers across Australia.
**Responsibilities**
+ Drive technical sales conversations with business and technical decision makers, using demos and proof-of-concepts to shape solution design and accelerate production deployments.
+ Lead hands-on engagements such as hackathons, code-with sessions, and architecture workshops to fast-track adoption of Microsoft developer tools and cloud platforms.
+ Build trusted relationships with developers and platform leaders, co-designing secure, scalable, and innovative architectures.
+ Resolve technical blockers and objections, working closely with engineering teams to provide feedback and influence product improvements.
+ Develop and maintain expertise in AI Foundry and AI application architecture, including Agentic AI frameworks, Semantic Kernel, Foundry SDK, and Responsible AI.
+ Grow skills in cloud-native development, including APIs, containerization, microservices, event-driven systems, and programming in Python, Java, or .NET.
+ Expand knowledge in AI management and security, including GenAI Ops, Sentinel, orchestration, and monitoring.
+ Represent Microsoft as a thought leader in developer communities and customer forums.
**Qualifications**
**Minimum Qualifications**
+ 5+ years of technical pre-sales or technical consulting experience
+ Bachelor's degree in Computer Science, Information Technology, or related field
**Preferred Qualifications**
+ Experience with:
+ Cloud and hybrid, or on-premises infrastructures
+ Architecture design and migrations
+ Industry standards and/or technology management
+ Certification in relevant technologies or disciplines, such as:
+ Azure Architect and Development exams
+ Cloud Platform Technologies
+ Architecture
#ANZMCAPSFY26
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for **commercial customers** at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
**Required Qualifications (RQs)**
+ 5+ years technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
+ OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
**Preferred Qualifications (PQs)**
+ 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
+ OR equivalent experience
+ 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
+ Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Are you curious, passionate about AI and cloud technologies, and excited by the opportunity to solve complex challenges in a fast-paced environment? If so, we invite you to join Microsoft as a Cloud & AI Solution Engineer.
We are hiring a AI Applications Solution Engineer for our Financial Services Industry team in Sydney. In this role, you'll be at the forefront of projects that harness the latest technologies to help customers modernize applications, adopt AI at scale, and transform their businesses.
As a Solution Engineer, you'll work side-by-side with customers and partners to design and deploy secure, scalable, AI-powered solutions. You'll engage in hands-on activities such as proof of concepts, hackathons, and architecture workshops, while providing trusted technical guidance on the use of Azure AI, AI Foundry, Responsible AI, and Microsoft's cloud platform.
This is a unique opportunity to accelerate your career, deepen your technical expertise, and shape the future of AI applications. Join a team that thrives on collaboration, creativity, and continuous learning, while making a meaningful impact with customers across Australia
**Responsibilities**
+ Drive technical sales conversations with business and technical decision makers, using demos and proof-of-concepts to shape solution design and accelerate production deployments.
+ Lead hands-on engagements such as hackathons, code-with sessions, and architecture workshops to fast-track adoption of Microsoft developer tools and cloud platforms.
+ Build trusted relationships with developers and platform leaders, co-designing secure, scalable, and innovative architectures.
+ Resolve technical blockers and objections, working closely with engineering teams to provide feedback and influence product improvements.
+ Develop and maintain expertise in AI Foundry and AI application architecture, including Agentic AI frameworks, Semantic Kernel, Foundry SDK, and Responsible AI.
+ Grow skills in cloud-native development, including APIs, containerization, microservices, event-driven systems, and programming in Python, Java, or .NET.
+ Expand knowledge in AI management and security, including GenAI Ops, Sentinel, orchestration, and monitoring.
+ Represent Microsoft as a thought leader in developer communities and customer forums.
**Qualifications**
**Minimum Experience**
+ 5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additional
+ or preferred qualifications 4+ years experience with cloud and hybrid
+ or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management Certification in relevant technologies or disciplines (Azure Architect and Development exams, Cloud Platform Technologies, Architecture).
#ANZMCAPSFY26
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