Senior Gen Ai Data Scientist

Fractal Analytics

Base: $120,000 - $140,000; bonus/equity: discretio...
Fully remote
Python-based data pipelines
Retrieval-augmented generation (rag)
Llm fine-tuning techniques
The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data

Job Summary

  • The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data.
  • Candidates will apply state-of-the-art techniques such as Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, and embedding optimization.
  • Employees are eligible for health, dental, vision, life insurance, disability plans, a 401(k) Plan, 11 paid holidays, and 12 weeks of Parental Leave.

Matching Summary

The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data.

Salary

Base: $120,000 - $140,000; Bonus/Equity: Discretionary annual bonus available; Benefits: Health, dental, vision, life, disability, 401(k), PTO, parental leave

Skills & Requirements

Must-have

  • Python-based data pipelines
  • Retrieval-Augmented Generation (RAG)
  • LLM fine-tuning techniques
  • Azure cloud deployment
  • MLOps best practices

Nice-to-have

  • metrics-driven iterations
  • A/B testing experience
  • collaboration with engineering teams
  • handling unstructured data ambiguity

Key Requirements

  • Experience with Azure MLOps
  • Proficiency in Python development
  • Background in Generative AI research

Work Rights

Not specified

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