Lead Machine Learning Engineer
Weekday (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and scale production-grade Generative AI applications focusing on AI assistants, retrieval, reasoning, and automation systems.
- Lead technical execution and architecture decisions ensuring AI systems are reliable, secure, cost-efficient, observable, and measurable at scale.
- Collaborate cross-functionally to identify AI opportunities, take concepts through production, optimize based on user feedback, and ensure measurable business impact.
Minimum Requirements
- 8+ years of experience building applied AI/ML intelligent software systems.
- 2+ years of practical Generative AI application experience with at least one production GenAI application deployed at meaningful scale.
- Strong expertise in production AI systems including RAG, agentic workflows, retrieval, grounding, fine-tuning, LLM orchestration, and related frameworks such as LangChain, LangGraph, or LlamaIndex.
- Strong programming and software engineering skills, particularly in Python, with experience building and deploying production-quality AI applications.
Ideal Candidate Profile
- Experienced technical leader comfortable owning end-to-end AI/ML application lifecycle from architecture to production operations.
- Deep hands-on proficiency in Generative AI, with demonstrated ability to move AI solutions beyond prototype to reliable, scalable production deployments.
- Strategic collaborator able to balance technical quality, business impact, security, and cost while working with cross-functional product, engineering, and business teams.