Data Scientist

Note: Please do not apply if you are not interested for Contract based work.

Contract Position

About the Role:

We are looking for a skilled and passionate Data Scientist who brings hands-on expertise in Python programming, Azure ecosystem, and Generative AI (GenAI) to help us design, build, and scale intelligent, AI-powered solutions. The ideal candidate will have deep experience with NLP, Computer Vision (CV), LLMs, FastAPI, vector databases, and modern machine learning pipelines.

Key Responsibilities:

• Design and implement AI/ML models for solving real-world business problems using Python and Azure ML.
• Develop and deploy RAG-based solutions integrating embedding techniques, chunking, and retrieval strategies.
• Work on OpenAI/GenAI-based models and fine-tune for specific enterprise use cases.
• Build and consume REST APIs using FastAPI or Django.
• Leverage Azure Form Recognizer for intelligent document processing.
• Implement CI/CD pipelines for model deployment and automation.
• Work with NoSQL and Vector Databases to store and retrieve high-dimensional data.
• Collaborate with cross-functional teams to build scalable and robust ML pipelines.
• Apply Deep Learning and NLP/CV techniques to enhance product features.

Primary Skills Required:

• Strong expertise in Python programming
• Experience with Azure Services (e.g., Azure ML, Azure Functions, Form Recognizer)
• Hands-on with FastAPI, Django framework
• Good understanding of CI/CD pipelines
• Proficiency in GenAI and OpenAI models
• Expertise in NLP, Computer Vision, Machine Learning, and Deep Learning
• Familiarity with NoSQL Databases (e.g., MongoDB, Cosmos DB)
• Experience with Vector Databases (e.g., FAISS, Pinecone, Qdrant)
• Knowledge of embedding & chunking techniques
• Experience in building RAG (Retrieval-Augmented Generation) based solutions
• Strong grasp of retrieval methods and information retrieval