Principal Data Scientist - S U
Cigres Technologies Private Limited (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of complex classical ML and GenAI/LLM applications, including building scalable ML pipelines and RAG vector-based systems.
- Architect and implement agentic AI systems with Model Context Protocol (MCP), enabling multi-agent workflows and integration with enterprise tools and APIs.
- Oversee cloud ML-Ops across AWS, Azure, Databricks; ensure model quality monitoring and drive AI feature technical direction with product teams.
Minimum Requirements
- 10+ years of professional experience in classical machine learning, Generative AI, and ML-Ops.
- Hands-on expertise with Python, SQL, Docker, Git/GitHub; proficiency in ML frameworks (Scikit-Learn, XGBoost, LightGBM) and GenAI tools (LangChain, LangGraph).
- Experience deploying production-grade GenAI applications and managing ML lifecycle on cloud platforms (AWS, Azure, Databricks).
- Work Experience Required: 10+ years
Ideal Candidate Profile
- Deep technical leader with proven ability to architect complex ML and GenAI systems, including cutting-edge agentic AI and multi-agent coordination.
- Experience operating across full ML lifecycle, from feature engineering, statistical modelling to ML-Ops and model drift monitoring in cloud environments.
- Familiarity with advanced GenAI tooling and multi-agent frameworks, capable of driving innovation in enterprise AI applications.