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5 - 10 years

15 - 20 Lacs

Posted:15 hours ago| Platform: Naukri logo

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Full Time

Job Description

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

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