Data Scientist_5

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., LangChain, LlamaIndex).
• 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, LangChain, LlamaIndex, 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, TensorFlow, 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 track record of delivering scalable GenAI solutions in enterprise environments.

Preferred Qualifications:

• Master’s/PhD in Computer Science, AI, Data Science, or a related field.
• Experience deploying GenAI solutions in a B2B enterprise or consulting environment.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and hybrid search strategies.

Why Join Fractal Analytics?

Opportunity to work on impactful projects and develop scalable solutions for our clients which are some of the world’s most valuable companies

Learn and grow with a diverse, high-performing team building cutting edge AI, ML and Engineering solutions

Competitive compensation and benefits, with opportunities for professional growth and development.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 to $170,000 Yearly. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: HiringsupportIndia@fractal.ai

Outside India: HiringsupportROW@fractal.ai

This inbox does not process resume submissions. All applications must be made through posted job openings

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!