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Tier-1 brand, generalist Software Engineer title, mid-level experience and Bangalore metro drive high competition.
Requires ML systems, distributed training and GPU infrastructure expertise, limiting cross-industry transferability.
Explicit 4+ years and mandatory security screening increase shortlisting rigidity despite broad tech requirements.
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.
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.
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.