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The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our Azure AI Foundry Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing OpenAI and OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.
Job Responsibility:
Collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale
Work on scaling these features for big data using distributed systems
Drive the incorporation of these customer-inspired innovations into our software
Take holistic ownership of your features
Independently use appropriate artificial intelligence tools and practices across the software development lifecycle
Work with appropriate internal stakeholders to understand customer/user requirements for a set of features
Create a clear test strategy that ensures solution quality, executes test plans, and builds testable code
Create extensible and maintainable product feature code for minimal defects
Review product feature code to ensure it contains the correct test coverage and follows team standards
Implements debugging tools, tests, logs, and telemetry to verify assumptions
Strive for automation within production deployment aiming for zero-touch when possible
Apply and reviews coding patterns, security risks, and compliance issues in code reviews
Apply security best practices to achieve security hardening across product features
Requirements:
Bachelor's / Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience writing production code in building internet scale services and distributed systems
Ability to debug, read code and work on a large and increasing codebase
Excellent communication and presentation skills
Engineering knowledge of machine learning systems and data pipelines, a plus
Experience collaborating with developers (and other stakeholders) and being a team player
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Engineering knowledge of machine learning systems and data pipelines