Generative AI Data Scientist
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Job description
This range is provided by Careerwise. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more.Base pay rangeDirect message the job poster from CareerwiseOverviewWe'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 DoOwn 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 Bring5+ years in applied data science (2+ in Generative AI/LLMs).Expertise in
Requirements
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 contributionsEmployment typeContractJob functionAnalyst, Information Technology, and ResearchIndustriesIT Services and IT Consulting and Software DevelopmentNote: This description excludes boilerplate pages and unrelated postings. #J-18808-Ljbffr