Join Fractal Analytics as a Senior Data Scientist to design and scale LLM-powered solutions for enterprise environments. This role is perfect for experts who thrive at the intersection of AI research and real-world industrial applications.
Roles & Responsibilities:
Design and implement advanced GenAI solutions using Transformers and Prompt engineering.
Own the full lifecycle from problem scoping and model design to production deployment.
Build reusable frameworks, pipelines, and prompt libraries for enterprise scalability.
Conduct research to evaluate new techniques in GenAI, NLP, and semantic search.
Mentor junior team members and contribute to internal knowledge-sharing initiatives.
Requirements:
5–10 years of experience in Data Science and NLP, with 2+ years specifically in GenAI.
Proficiency in Python, SQL, and frameworks like PyTorch or Hugging Face.
Hands-on experience with LangChain, LlamaIndex, RAG pipelines, and vector databases.
Experience integrating LLMs via Azure OpenAI, Google Vertex AI, or AWS Bedrock.
Strong understanding of embeddings, summarization, and CI/CD pipelines.
Perks & Benefits:
Opportunity to work at a premier AI firm with a focus on real-world impact.
Collaborate with multidisciplinary teams of over-achievers and innovators.
Access to cutting-edge cloud platforms and MLOps tools.
Flexible work environment across multiple Fractal locations in India.
Additional Information:
Preferred experience in BFSI, Retail, or Healthcare domains.
Exposure to MLOps tools like MLflow or Kubeflow is a plus.
Strong data storytelling and client communication skills are required.
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