Tech Lead - Data Science
Johnson Controls (company site, opens in a new tab)8–12 yrsMumbaiOn-siteDirect career pageEst. 30–50 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, build, and productionize multi-agent autonomous AI systems using agent orchestration frameworks and Azure cloud services.
- Develop and maintain end-to-end Retrieval-Augmented Generation (RAG) pipelines, integrate agents with enterprise systems via APIs and connectors, and implement LLM evaluation frameworks and governance.
- Lead technical direction for Generative AI initiatives, mentor junior data scientists, and present solutions to senior stakeholders.
Minimum Requirements
- 8-10 years professional experience in data science/ML with at least 3 years in production LLM or Generative AI applications.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel in production.
- Proven expertise in Python, Azure services (Azure OpenAI, Azure ML, Azure Databricks, Synapse), vector databases, classical ML frameworks, strong SQL skills, and MLOps/LLMOps (MLflow, CI/CD).
Ideal Candidate Profile
- Experienced leader in building and scaling complex multi-agent AI platforms leveraging LLM orchestration and Azure cloud ecosystem.
- Deep technical proficiency combining classical ML and advanced LLM-based application development, capable of translating ambiguous business problems into agentic AI solutions.
- Strong collaborator comfortable with mentoring, setting technical direction, and maintaining engineering best practices in a hybrid cloud and hybrid work environment.