Technical Lead Data Scientist

Responsibilities:

• Research, design, and develop ML models for metadata extraction, information retrieval, and RAG applications.

• Define AI architecture, tools, and Azure integrations, optimizing cloud-based model deployment.

• Implement schema retrieval pipelines using embeddings, FAISS/VectorDB, and ranking mechanisms.

• Develop pipelines for data preprocessing, metadata structuring, and structured query generation.

• Apply MLOps principles for scalable, automated AI/ML workflows.

• Enhance bot interactions with natural language processing, improving accuracy and reducing hallucinations.

• Deploy AI models and APIs on Azure, optimizing performance and cost.

• Perform testing for functional, integration, and load scenarios, ensuring query accuracy.

• Collaborate with cross-functional teams to define requirements and drive AI solutions.

Must Have Skills:

• 6+ years in AI/ML, NLP, Python, with a strong focus on Azure.
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• Expertise in RAG, NLP, Computer Vision, schema retrieval, and deep learning.

• Experience with FAISS/Vector DB, SQL, data preprocessing, and database integration in OneLake.

• Hands-on deployment and optimization of AI-powered bots and LLMs.

• Proficiency in microservices, Docker, and Kubernetes (Azure Kubernetes Service preferred).

• Strong MLOps practices, including CI/CD, monitoring, and lifecycle automation.

• Ability to optimize AI models for performance and efficiency in production.

• Strong Python skills with TensorFlow, PyTorch, LangChain, and FAISS.
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• Excellent communication skills for technical and non-technical audiences