24 AI Development jobs in Australia

Description
AWS is known for its relentless customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical processes to leverage the capabilities of Gen AI.
Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler. Q-CST Builders are responsible for architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Q and Bedrock.
This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders collaborate closely with Strategists and customer stakeholders to understand their requirements, translates them into technical specifications, and develops scalable and secure Generative AI solutions. Additionally, they provide guidance on data preparation, model training, and deployment strategies to ensure successful implementation and adoption of Generative AI solutions within the organization.
Key job responsibilities
- Lead and architect complex Amazon Q and Gen AI Application solutions, establishing technical direction and best practices for enterprise-scale implementations
- Lead development and implementation of strategies for training, fine-tuning, and optimizing generative AI Application Design to ensure high performance, scalability, and cost-effectiveness, leveraging Amazon's AI/ML services and infrastructure
- Design and integrate Gen AI applications into existing 3rd Party applications like SAML (Okta, Azure AD), with AWS Services like IDC, DynamoDB, ensuring seamless integration, scalability, and adherence to security best practices
- Mentor junior team members and provide technical leadership across multiple customer engagements
- Drive collaboration with cross-functional teams, such as Gen AI Strategists, Customer Project Managers, user experience designers, and AWS AI/ML specialists, to ensure the effective integration of generative AI outputs into end-user applications, while considering user experience, accessibility, and ethical implications
- Build and maintain relationships with key business and technical stakeholders, including C-level executives, to drive adoption of Gen AI solutions
- Lead workshops and discussions with Customer stakeholders and AWS Security specialists to design, deliver, and maintain secure and resilient Gen AI solutions, adhering to Amazon's security and compliance standards
- Lead and contribute the development of reusable tools, libraries, and frameworks for building and deploying Amazon Q Applications, fostering collaboration and knowledge sharing within the Amazon AI/ML community.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
About the team
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.
The AWS Amazon Q-CST leverages deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler.
Basic Qualifications
- 7+ years of architecture/design and implementation of cloud-based solutions
- 7+ years of consulting or professional services experience
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 5+ years of software development with object oriented language experience
- Bachelor's degree, or 7+ years of professional or military experience
Preferred Qualifications
- Experience leading the architecture and implementation of AI/ML workloads
- Proven track record of delivering robust, scalable solutions in complex technical environments as well as delivering successful enterprise-scale Gen AI implementations
- International consulting or professional services sales and delivery experience
- Strong track record of CI/CD implementation in enterprise environments
- Experience evaluating customer market conditions, organizational readiness, and C-Level engagement to drive strategic transformation initiatives
- Vertical industry sales and delivery experience of cloud services and solutions
- Experience with selling consulting/professional services
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.

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.

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.

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.

About the role

We're seeking an AI Engineer to lead the development of intelligent solutions that enhance customer experience, operational efficiency, and strategic decision-making.

This is a unique opportunity to work at the intersection of data, technology, and banking innovation—within a values-led organisation committed to passion, advocacy, and sustainability.

What You'll Be Doing

• Design and deploy machine learning models and AI algorithms tailored to banking use cases
• Build scalable data pipelines and integrate AI into existing systems and customer platforms
• Collaborate with data scientists to operationalize models in production environments
• Optimize AI systems for performance, reliability, and compliance
• Communicate insights and technical concepts to stakeholders across all levels of the business
• Stay ahead of emerging AI trends and apply them to financial services innovation

What You'll Bring

Qualifications & Experience:

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years in software engineering, with 2+ years in AI/ML development
• Experience in NLP, computer vision, or other AI specializations
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Banking or financial services domain experience highly regarded

Skills:

• Strong Python skills and proficiency in AI/ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Understanding of MLOps, CI/CD, and software design principles
• Knowledge of responsible AI and distributed computing frameworks (desirable)
• Ability to translate complex technical concepts into business value

About us

Teachers Mutual Bank Limited is one of the largest mutual banks in Australia. We are a globally-recognised socially responsible bank with profit-for-purpose as our business model and philosophy. At our Bank, social responsibility is built-in, not bolted on and drives our business practices, people, and products.

We are proud to serve some of Australia's essential workers in education, emergency services and healthcare. We believe they deserve a bank that does good for their community.

We have been named one of the World's Most Ethical Companies for ten years in a row and are a Certified B Corp Bank. Our employees embrace our organisation's values of passion, advocacy and sustainability, and contribute to a diverse and inclusive workplace culture founded on mutual respect, equality and a focus on striving to deliver exceptional member service.

We work under a hybrid-working model to provide flexibility in the workplace. For more information about working conditions as well as our employee value proposition, please visit the careers page on our website at or find us on LinkedIn!

How to apply

Please click the APPLY button and follow the prompts.

For a confidential conversation, please contact Lyndsay Flett,

Teachers Mutual Bank Ltd may conduct a background or reference check (or both) as part of the recruitment process. By applying you agree to cooperate fully in those procedures and understand that an offer is subject to the satisfactory outcome of those checks, at the discretion of Teachers Mutual Bank Ltd.

Are you insatiably curious, deeply passionate about the realm of AI & applications, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for commercial customers at Microsoft. Here, you'll be at the forefront of 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.
Microsoft is transforming the developer experience for AI applications across the development lifecycle. With AI Foundry and seamless integration with Azure AI, we're leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Apps Solution Engineer, you'll help customers boost productivity and become AI-native.
As an AI Applications Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft's AI-powered stack across every stage of the development lifecycle. You'll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI, 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 AI applications development into their deployment workflows. In summary, you'll help customers modernize their applications and realize the full value of Microsoft's AI 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 AI applications and agents into their development workflows. In summary, you'll help customers modernize their applications leveraging AI and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons, code-with sessions, and architecture workshops-to accelerate adoption of Microsoft's developer tools and cloud platforms.
+ Build trusted relationships with developers and 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 AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).
+ Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
+ Represent Microsoft through thought leadership in developer communities and customer forums
**Qualifications**
+ 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 full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
+ Expert for AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
#MCAPS_FY26H1-SE-Apps
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 ( .

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 cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, 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.
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/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
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, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
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.

Overview

Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.

What You'll Do

• Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
• Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
• Design and run experiments using the latest ML tools and frameworks
• Develop automation tools to streamline research and system development
• Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
• Partner with engineering teams to implement and test models in production environments
  
  
  

What We're Looking For

We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

• PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
• Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
• A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
• Strong programming skills in Python and/or C++
• Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
• Hands-on experience applying deep learning on time series data
• Strong foundation in mathematics, statistics, and algorithm design
• Excellent problem-solving skills with a creative, research-driven mindset
• Demonstrated ability to work collaboratively in team-oriented environments
• A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
  
  
  

Why Join Us?

• Collaborate with a world-class team of researchers, engineers, and traders
• Gain access to best-in-class financial data and high-performance computing resources
• Directly impact real-time trading performance through your work
• Thrive in a collaborative, intellectually rigorous environment with a global footprint
  
  
  

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