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Mid-level ML generalist in Bengaluru with commonly required skills and partial remote flexibility.
Core AI/ML skills broadly transferable, though biotech domain knowledge is advantageous.
Explicit 5–8 years requirement and mandatory Azure/OpenAI, RAG, FastAPI, and Cosmos DB expertise.
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Architect, develop, and deploy scalable AI-driven systems using Python, FastAPI, and Azure OpenAI integrated with Cosmos DB and Azure Cognitive Search.
Design and optimize Retrieval-Augmented Generation (RAG) pipelines and integrate advanced search functionalities including external search APIs like Perplexity and Bing Search API.
Maintain microservices and AI/data processing workflows with documentation of APIs and workflows, using tools like MS Visual Studio Code, Git, and Azure DevOps for CI/CD deployment.
5–8 years of hands-on experience in AI/ML or full-stack development with AI integration.
Bachelor’s or Master’s degree (BE, B.Tech, MCA, or MSc) in Computer Science, Artificial Intelligence, or Data Engineering.
Technical expertise in Python, FastAPI, React, Azure OpenAI, Azure Cognitive Search, Cosmos DB, and RAG pipeline design.
Experience with MS Visual Studio Code, Git, Azure DevOps, REST APIs, and knowledge of prompt engineering, vector search, embedding management, and generative model optimization.
Experienced in designing and deploying AI-powered applications with strong backend (Python/FastAPI) and frontend (React) skills in cloud environments, especially Microsoft Azure.
Skilled in integrating and optimizing complex AI systems including retrieval-augmented generation and advanced cognitive search capabilities.
Capable of end-to-end solution ownership from architecture to deployment and documentation, operating effectively in a hybrid work setup (home-based with occasional office days).