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Job Description
Structured overview of role & requirementsAbout This Role
Design, train, and fine-tune AI models with focus on Generative AI and Large Language Models using Retrieval-Augmented Generation techniques.
Develop and build RAG pipelines using Azure-native tools and implement semantic search and chunking strategies.
Collaborate with software teams to integrate AI models into user-facing applications, ensuring operational deployment.
Minimum Requirements
Minimum 4 years of experience in machine learning development.
Bachelor's degree in Engineering (B.E.).
Proficiency in Azure AI Search, Azure OpenAI Service (GPT-4o etc.) integration via Python SDKs, and ML libraries such as Hugging Face, Scikit-learn, LangChain.
Experience working with vector databases (e.g., Pinecone, Milvus) and prompt engineering.
Ideal Candidate Profile
Experienced in implementing end-to-end Generative AI and LLM solutions in production environments using Azure ecosystem.
Operationally skilled in building and fine-tuning RAG pipelines and semantic search techniques.
Technically proficient with Python-based ML libraries and managing AI model deployment alongside software development teams.