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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand plus metro Bangalore and mid-level ML role increase candidate competition.
Strong GenAI, agentic AI, and MLOps requirements make cross-industry fit limited.
Explicit 6+ years and specialized GenAI, MLOps, and deep learning requirements create strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end design, development, deployment, and operation of production GenAI, agentic AI, and ML systems impacting millions of Walmart associates.
Architect and manage stateful AI experiences including conversation state, long-term memory, context persistence, and retrieval strategies.
Drive evaluation strategies for GenAI systems including offline benchmarks, online A/B testing, continuous quality monitoring, and enforce trustworthy AI practices such as guardrails and human-in-the-loop mechanisms.
Minimum Requirements
6+ years professional experience designing, developing, deploying, and maintaining production-grade AI/ML and GenAI systems.
Bachelor's or Master's degree in computer science, engineering, statistics, mathematics, economics, or related quantitative field.
Hands-on experience with GenAI solutions (RAG, prompt engineering, orchestration), agentic AI frameworks (LangChain, LangGraph or equivalents), deep learning frameworks (TensorFlow, PyTorch).
Work Experience Required: 6+ years in AI/ML related roles as per role summary and preferred qualifications.
Ideal Candidate Profile
Proven ability to architect scalable, reliable AI/ML systems with stateful, multi-turn conversational capabilities in large-scale enterprise environments.
Experience driving AI productization and deployment with strong emphasis on trustworthy AI, governance, and monitoring at scale.
Skilled mentor and collaborator capable of elevating junior data scientists and influencing cross-functional teams on AI/ML best practices and evaluation strategies.