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Volga Infotech · Mumbai, Maharashtra, India

Data Scientist ( Gen AI+ Agentic AI with Dataiku and Snowflake )

Remoteentry_levelfull timePosted yesterday
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** We are looking for immediate joiners only. If interested, please email us yoru resume ( resume @volgainfotech.com ) along with details of your CTC, ECTC, Notice period and your experience with GenAi, Agentic, Dataiku and Snowflake ) **

Role Overview

We are seeking a hands-on Data Scientist – Gen AI Consultant with strong expertise in Generative AI, Agentic AI, and enterprise data platforms. The ideal candidate will design, build, and deploy production-grade GenAI and multi-agent systems using Dataiku and Snowflake.

Key Responsibilities

- GenAI & Agentic AI Solutions: Design and deploy production-ready Generative AI and Agentic AI workflows.

- Agent Architecture & Orchestration: Build AI Agents, write detailed multi-page agent instructions, define tools, and architect multi-agent orchestration for end-to-end task execution.

- Platform Integration: Implement and optimize workflows using Dataiku (specifically leveraging LLM Mesh) integrated with Snowflake.

- Technical Execution: Walk through projects end-to-end, evaluating tech choices, architecture, trade-offs, and implementation outcomes.

Position Details

- Experience Required: 4+ years in Data Science / AI-ML

- Work Timings: 1:00 PM – 10:00 PM IST (Mon – Fri)

- Location: Remote

Qualifications & Requirements

Must-Have Skills:

- Dataiku Expertise: Proven hands-on delivery with Dataiku, including Dataiku LLM Mesh (must speak to real production implementations, not just theoretical knowledge).

- Snowflake: Solid hands-on experience integrating and querying Snowflake within AI pipelines.

- GenAI Architecture: Solid grounding in LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases.

- Agent Tooling: Demonstrated experience building agent tools, enabling autonomous decision-making, and setting up multi-agent collaboration models.

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Nice-to-Have:

- Domain Exposure: Experience in Pharma or Life Sciences (enterprise data, R&D, or drug-discovery use cases).

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