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AI Engineer – Azure AI Specialist (Consultant / Part-Time)

AI Engineer – Azure AI Specialist (Consultant / Part-Time)

High Volt AnalyticsAnantapur, IN
16 hours ago
Job description

Company Description

High 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 (OpenAI, HuggingFace, 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 OpenAI Service .
  • Proven knowledge of deploying and scaling LLM-based applications .
  • Practical hands-on with vector databases , embedding workflows, and tools like LangChain 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 (FastAPI experience is a plus).
  • Good-to-Have Skills :

  • Familiarity with financial or BI reporting systems (Power BI, QuickBooks, 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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