Generative AI Data Scientist

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Base pay range

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Overview

We’re seeking a creative and technically skilled Generative AI Data Scientist to join our AI System Design team. You’ll play a pivotal role in designing and deploying scalable GenAI solutions across text, code, and multimodal domains — using tools like LangChain, Databricks, and Azure AI.

You’ll Do

• Own end-to-end GenAI project lifecycle — from ideation to deployment.
• Build scalable AI workflows and data pipelines in Databricks and Azure.
• Apply prompt engineering, LLM fine-tuning, and RAG for real-world use cases.
• Translate business KPIs into AI-driven architectures with measurable outcomes.
• Collaborate across teams to define success metrics, automate model evaluation, and build robust monitoring systems.

You Bring

• 5+ years in applied data science (2+ in Generative AI/LLMs).
• Expertise in Python, PyTorch, Hugging Face, and modern GenAI frameworks.
• Hands-on with LangChain, LangGraph, MCP, Google ADK, or similar agentic tools.
• Strong skills in Databricks, Azure AI/ML, and MLOps best practices.
• Ability to communicate AI concepts to both technical and business stakeholders.
• Multi-agent systems, GenAI ethics/governance, open-source contributions

Employment type

• Contract

Job function

• Analyst, Information Technology, and Research

Industries

• IT Services and IT Consulting and Software Development

Note: This description excludes boilerplate pages and unrelated postings.

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