Data Scientist

Job Description – Senior Data Scientist / ML Engineer (GenAI & RAG)

Experience: 5+ Years

Domain: AI/ML, Generative AI

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.

• Develop scalable Python applications and automated data processing pipelines.

• Work with LLMs, NLP, embeddings, vector databases, and document processing.

• Implement and maintain cloud-based AI solutions.

• Collaborate with cross-functional teams to deliver production-ready solutions.

Required Skills

• Strong hands-on experience in Python and machine learning.

• Practical experience with Generative AI, LLMs, and RAG architectures.

• Knowledge of NLP, semantic search, embeddings, and vector databases.

• Experience with Azure cloud services and AI tools.

• Experience with data pipelines, APIs, Git, and CI/CD.

• Strong problem-solving, debugging, and communication skills.

• Ability to work independently and take ownership of deliverables.

Good to Have

• Experience with Azure OpenAI, Azure AI Search, and Azure Document Intelligence.

• Knowledge of document extraction, processing, and version comparison.

• Experience in healthcare, clinical research, or life sciences.

• Familiarity with production ML deployment and monitoring.

Ideal Candidate: A hands-on AI/ML engineer with strong Python expertise, practical GenAI/RAG implementation experience, and the ability to independently develop and deliver scalable, production-ready solutions.