Tech Lead - Data Science
Johnson Controls (company site, opens in a new tab)8–12 yrsMumbaiOn-siteDirect career pageEst. 28–45 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, develop, and productionize multi-agent autonomous AI workflows integrating LLMs with enterprise systems using Azure cloud.
- Lead technical direction for Generative AI initiatives, mentoring junior data scientists and conducting code/design reviews.
- Own MLOps/LLMOps for the platform including experiment tracking, CI/CD, monitoring, and governance to ensure safe, scalable AI solutions.
Minimum Requirements
- 8-10 years professional experience in data science/ML with at least 3 years in production LLM or GenAI application development.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
- Strong hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel) and Azure AI services (OpenAI, AI Foundry, ML, Databricks).
- Expert Python skills, solid SQL knowledge, and proven MLOps/LLMOps expertise including versioning, CI/CD, and monitoring in production.
Ideal Candidate Profile
- Experienced tech lead with deep expertise in designing and shipping scalable multi-agent AI systems using LLMs on Microsoft Azure.
- Proficient in bridging complex business problems to AI-driven autonomous workflows, capable of communicating architecture decisions to senior stakeholders.
- Skilled in managing AI safety, guardrails, and evaluation metrics, with hands-on knowledge of advanced GenAI tooling and orchestration frameworks.