Overview

Work timings - 1.00 - 10.00 P.M (Mon-Fri)
Contract duration - 3 months (extendable)
Experience - 4-5 Years

Key Responsibilities

• 4-5 years in Data Science/AI-ML with proven, hands-on delivery of Generative AI and Agentic AI solutions in production environments.
• Mandatory: Hands-on expertise in Dataiku (including LLM Mesh) and Snowflake - must be able to speak to real implementation, not just familiarity.
• Solid grounding in GenAI architecture - LLMs, prompt engineering, RAG, vector databases - and how these translate into enterprise-grade solutions.
• Proven experience designing and building AI Agents, including writing detailed multi-page agent instructions, defining tools, and enabling autonomous decision-making.
• Practical knowledge of Agent Tool Building and Multi-Agent Orchestration - architecting how multiple agents collaborate, hand off tasks, and execute complex workflows end-to-end.
• Able to walk through a GenAI project end-to-end: problem statement, architecture, tech choices, trade-offs, and implementation outcomes - not just describe it at a high level.

Required Skills

• Dataiku (LLM Mesh) + Snowflake + GenAI/Agentic AI implementation

Preferred Skills

• Pharma/Life Sciences domain exposure - enterprise data, research, or drug-discovery use cases.