Data Scientist_

Position: Data Scientist_5
Location: California

## Data Scientist 5

Apply locations:
California time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 17, 2026 (30 days left to apply) job requisition :
SR-43641

It's fun to work in a company where people truly BELIEVE in what they are doing!
* We're committed to bringing passion and customer focus to the business.
* Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit
** Fractal | Intelligence for Imagination
** for more information about Fractal.
*
* Position Overview:

** Fractal Analytics is seeking a GenAI Data Scientist with hands-on expertise in building production-grade Large Language Model (LLM)-powered applications such as agentic chatbots, semantic search engines, and contextual assistants. The ideal candidate will be deeply technical with a strong foundation in LLM architecture and fine-tuning, strong understanding of Foundation Model capabilities, RAG design and performance evaluation frameworks. This role is central to driving the development of innovative generative AI experiences that empower users and transform enterprise decision-making.
*
* Key Responsibilities:

*** LLM-based Solution Development
* Design and develop LLM-powered applications such as agentic chatbots, smart search, contextual recommendation systems, and document summarizers.
* Fine-tune open-source and proprietary foundation models (e.g., GPT, LLaMA, Claude) for domain-specific tasks using best practices.
* Implement Retrieval-Augmented Generation (RAG) frameworks for enterprise-grade knowledge access.
* Integrate AI assistants with internal systems and APIs for multi-step reasoning and tool usage.
* Technical Innovation & Applied Research
* Evaluate emerging GenAI tools and frameworks and incorporate them into scalable architectures.
* Experiment with techniques like few-shot learning, prompt tuning, instruction tuning, and tool use (e.g., Lang Chain, Llama Index).
* Contribute to IP and internal assets for reusable components and accelerators.
* Model Evaluation & Governance
* Design robust benchmarking and evaluation pipelines for LLM outputs (e.g., factual accuracy, hallucination rates, usefulness).
* Ensure responsible AI practices—bias detection, safety constraints, and interpretability.
* Collaborate with AI Governance and MLOps teams to ensure scalable and auditable deployments.
* Collaboration & Solution Delivery
* Work closely with solution architects, UI engineers, and domain experts to define end-to-end product flows.
* Translate business requirements into technical blueprints and iterate through prototypes to production.
* Provide technical mentorship to junior data scientists and AI engineers.
** Required

Qualifications & Skills:

*** Generative AI Expertise
* Strong experience working with LLMs (e.g., GPT-4, LLaMA, Claude, PaLM) and frameworks such as Hugging Face, Lang Chain, Llama Index, or Haystack.
* Experience implementing agent-based architectures for autonomous task execution.
* Solid grounding in NLP techniques including embeddings, vector databases, text classification, summarization, and QA systems.
* Engineering & Deployment
* Proficiency in Python and ML libraries like PyTorch, Tensor Flow, scikit-learn.
* Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
* Familiarity with MLOps practices and tools for model deployment and monitoring.
* Business Acumen & Communication
* Ability to understand user pain points and propose intuitive AI solutions.
* Strong problem-solving and communication skills to work across technical and business stakeholders.
* Proven…