Senior Data Scientist – Generative AI
Core
Designing and implementing advanced Generative AI solutions using LLMs, Transformers, and Prompt Engineering to solve real-world enterprise problems.
Role type
Senior IC Generative AI Data Scientist
Builds
LLM-powered solutions, reusable frameworks, pipelines, and prompt libraries for enterprise clients
Domain
Generative AI, Natural Language Processing (NLP), Enterprise Software
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, RAG pipelines, Prompt Engineering, vector databases (FAISS, ChromaDB), NLP techniques (embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots), cloud platforms (GCP, AWS, Azure), CI/CD pipelines, LLM integration (Azure OpenAI, Google Vertex AI, AWS Bedrock)
Preferred skills
MLOps tools (MLflow, Kubeflow, Vertex AI), domain expertise (BFSI, Retail, Energy, CPG, FMCG, Healthcare), open-source GenAI contributions
Technologies
Azure OpenAI, Google Vertex AI, AWS Bedrock, FAISS, ChromaDB, LangChain, LlamaIndex, PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow
Responsibilities
Design and implement advanced GenAI solutions using LLMs and Transformers; Own the full lifecycle from problem scoping to deployment and optimization; Build and maintain reusable frameworks and pipelines; Conduct research and experimentation to evaluate new GenAI techniques; Present insights and recommendations to stakeholders; Mentor junior team members
Seniority
Senior, hands-on IC
