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

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

Senior Data Scientist – Generative AI

Key skills