Senior Data Scientist – Generative AI

Senior Data Scientist – Generative AI

Role Overview:

We’re looking for a passionate Senior Data Scientist – Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone who’s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/domains.

Job Description:

1. Design and implement advanced GenAI solutions using LLMs, Transformers & Prompt engineering
2. Own the full lifecycle: from problem scoping & model design to deployment & post-production optimization
3. Build & maintain reusable frameworks, pipelines, & prompt libraries
4. Participate in code reviews & contribute to maintaining high code quality standards
5. Conduct research & experimentation to evaluate new techniques in GenAI & NLP space
6. Present insights & recommendations to clients & internal stakeholders through compelling storytelling & visualizations
7. Mentor junior team members & contribute to knowledge-sharing initiatives

Must Have Skills:

1. 5–10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs
2. Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
3. Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB)
4. Strong understanding of NLP techniques including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc
5. Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines
6. Experience integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock
7. Ability to work independently & drive projects end-to-end from development to production
8. Strong problem-solving, data storytelling & communication skills

Preferred Skills:

1. Experience in domains like BFSI, Retail, CPG, FMCG, Healthcare, etc
2. Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI
3. Publications or contributions to open-source GenAI projects

Location:

All Fractal Locations - Mumbai, Bengaluru, Gurugram, Pune, Noida, Chennai, Pune, Coimbatore, Hyderabad