Senior Gen Ai Data Scientist

Fractal Analytics

Base: $120,000 - $140,000; bonus/equity: discretio...
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Python-based data pipelines
Retrieval-augmented generation (rag)
Llm fine-tuning techniques
** Fractal Analytics is seeking a Senior Gen AI Data Scientist to design and deploy advanced Machine Learning and Generative AI solutions for large-scale, unstructured data. The position is fully remote and emphasizes collaboration, experimentation, and continuous improvement in AI model development. **

Job Summary

  • The role involves designing 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) and Large Language Model (LLM) fine-tuning while ensuring scalable deployment on Azure.
  • Employees are eligible for health, dental, vision, life insurance, disability plans, a 401(k) plan, and a 'free time' PTO policy starting on the first day of employment.

Matching Summary

Match Score: 75

** Fractal Analytics is seeking a Senior Gen AI Data Scientist to design and deploy advanced Machine Learning and Generative AI solutions for large-scale, unstructured data. The position is fully remote and emphasizes collaboration, experimentation, and continuous improvement in AI model development. **

Salary

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

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

  • Experience with unstructured data
  • A/B testing and metrics-driven iteration
  • Collaboration with engineering teams

Key Requirements

  • Senior level experience in GenAI
  • Proficiency in Python programming
  • Expertise in Azure MLOps

Work Rights

Not specified

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