Senior Data Scientist

We are looking for a Senior Data Scientist with strong expertise in Data Science, Machine Learning, Generative AI, and Agentic AI. The candidate should have hands-on experience building and deploying LLM-powered applications, RAG pipelines, and AI-driven solutions while possessing a strong foundation in statistics and classical machine learning.

Key Responsibilities

Design and develop GenAI applications, including enterprise chatbots, knowledge assistants, document intelligence, and AI automation solutions.

Build end-to-end RAG pipelines involving document ingestion, chunking, embeddings, vector databases, retrieval, reranking, and context generation.

Implement Agentic AI workflows using tool calling, multi-step reasoning, orchestration, and human-in-the-loop mechanisms.

Work on prompt engineering, structured outputs, function calling, and LLM evaluation.

Develop evaluation frameworks to measure response quality, accuracy, relevance, and hallucination rates.

Implement LLM guardrails, prompt-injection protection, and responsible AI practices.

Apply statistical analysis, exploratory data analysis, feature engineering, and predictive machine learning techniques.

Collaborate with engineering and business teams to deliver scalable, production-ready AI solutions.

Mandatory Skills

Python Data Science: Strong Python programming with NumPy, Pandas, SciPy, Scikit-learn, statistics, probability, and machine learning.

Generative AI LLMs: Hands-on experience with LLMs, Transformers, prompt engineering, structured outputs, function calling, and LLM evaluation.

RAG Vector Databases: Practical experience with RAG pipelines, embeddings, vector databases, semantic search, retrieval, and reranking.

Agentic AI: Understanding of agentic workflows, tool use, multi-step reasoning, and orchestration using LangChain, LangGraph, or LlamaIndex.

Good-to-Have Skills

Experience with Azure OpenAI, AWS Bedrock, or Google Cloud Vertex AI.

LLM evaluation, hallucination mitigation, guardrails, and responsible AI.

Experience deploying enterprise-grade AI/ML applications.

Client-facing consulting experience and mentoring junior team members.

Candidate Requirements

3-5 years of relevant experience in Data Science, Machine Learning, or AI application development.

Strong fundamentals in statistics, probability, and machine learning algorithms.

Bachelors degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.

Graduates from Tier 1/Tier 2 colleges preferred.

Masters degree or GenAI certifications are an added advantage.