Data Scientist ( Gen AI Agentic AI With Dataiku And Snowflake )

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 2 weeks ago
4-6 years
Mumbai, Maharashtra
work from office

Posted: 2 weeks ago
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Applicants: 149+
Job Description
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Job Description

** 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:

Looking to get Placed? Try our Placement Guarantee Plan

  • 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.
  • Nice-to-Have:

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

    Data ScienceImplementationSnowflakeData ScientistPrompt EngineeringAiMlLlmLlmsGenerative AiGen AiGenaiRagAi AgentsAgenticAgentic AiMulti-agent Systems

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    Important dates & deadlines?

    Application Deadline

    10 Nov 26, 02:28 PM IST

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    Data Scientist ( Gen AI+ Agentic AI With Dataiku And Snowflake )

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