Software Engineer II - AI/ML Infrastructure CoreAI
Microsoft (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development of AI/ML infrastructure features including training, testing, validating, scaling, and optimizing machine learning algorithms at distributed scale.
- Collaborate with data scientists and developers to design abstractions, infrastructure, and interfaces for AI training and production deployment, aiming for automation and zero-touch operation.
- Deliver production-quality code with appropriate test coverage, security hardening, debugging tools, and telemetry to support scalable AI systems on Azure infrastructure.
Minimum Requirements
- Bachelor's or Master’s degree in Computer Science or related technical field.
- 4+ years of technical engineering experience coding in C#, Java, Python, or equivalent.
- Experience writing production code for internet-scale services and distributed systems.
- Ability to pass Microsoft Cloud Background Check and other security screenings.
Ideal Candidate Profile
- Experienced in working with AI agents, ML internals, and distributed machine learning systems at scale.
- Operates independently with strong skills in the full software development lifecycle and test strategy creation for quality assurance.
- Able to collaborate effectively with cross-functional teams including data scientists and developers, focusing on customer-driven feature implementation.