Ai engineer – azure ai specialist

5 days ago

Shivamogga, India High Volt Analytics Full time

Company DescriptionHigh Volt Analytics assists medium to large organizations in becoming AI ready, starting with Finance & Accounts automation. We focus on automating financial processes to deliver real-time insights and error-free reports, integrating data into a secure AI-ready foundation, offering interactive AI-powered insights, and developing enterprise AI roadmaps. Our clients include CFOs, Controllers, FP&A leaders, and CEOs who aim to move beyond manual processes and harness AI-driven competitive advantages.Core Focus Areas:Build and optimize RAG (Retrieval-Augmented Generation) systems on Azure.Deploy, fine-tune, and manage LLMs within Azure environments (Open AI, Hugging Face, or custom models).Deep integration with Azure AI Search, Cognitive Services, and Azure Machine Learning pipelines.Collaborate on vector store (Qdrant / Azure AI Search), embeddings, and prompt orchestration.Translate finance data structures into meaningful, conversational AI outputs.Must-Have Skills:Strong experience with Azure AI Studio / Foundry or Azure Open AI Service.Proven knowledge of deploying and scaling LLM-based applications.Practical hands-on with vector databases, embedding workflows, and tools like Lang Chain or Semantic Kernel.Understanding of Power BI semantic models, finance document structures, and business logic.Familiarity with Azure Machine Learning, Azure Functions, and Key Vault for secure orchestration.Python-based AI pipeline development (Fast API experience is a plus).Good-to-Have Skills:Familiarity with financial or BI reporting systems (Power BI, Quick Books, accounting workflows).Experience integrating search + chat UIs (Streamlit, Gradio, React, etc.).Background in building AI copilots or enterprise-focused assistants.Why This Role Matters:While your Technical Project Lead will guide the overall engineering and system integration, this AI Engineer will:Specialize in the AI layer, handling model workflows, retrieval systems, and Azure-based intelligence.Bridge the gap between business data and conversational output, enabling smarter responses.Accelerate integration with Azure-native AI tools, reducing friction and increasing speed-to-market.

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