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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
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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