Senior Cloud AI Specialist

2 weeks ago


Coimbatore, Tamil Nadu, India beBeeAzureAiExpert Full time US$ 1,00,000 - US$ 1,75,000

Unlock Azure AI Expertise with a Career-Changing Opportunity.

We are seeking an experienced and highly skilled professional to join our team as a full-time Azure AI Engineer. As a key member of our organization, you will be responsible for designing, configuring, and optimizing enterprise-grade Azure AI solutions.

  • Design and develop scalable Azure AI solutions using Azure AI services, including:
  • Azure OpenAI
  • Azure Cognitive Search
  • Azure Speech Services (speech-to-text, text-to-speech)
  • Azure Document Intelligence (formerly Form Recognizer)
  • Architect and implement RAG-based applications and intelligent agents for search, document processing, and other NLP/NLU use cases.
  • Write robust, maintainable Python backend code to integrate and orchestrate Azure AI services.
  • Optimize performance, cost, and scalability of deployed AI workloads.
  • Develop APIs and service layers to enable AI features across products and platforms.
  • Collaborate with data scientists, DevOps, and product teams to deploy AI models and pipelines.
  • Monitor, troubleshoot, and maintain AI-driven features in production environments.
  • Stay current with Azure's evolving AI stack and emerging best practices in RAG and GenAI.
Requirements
  • Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field.
  • 7+ years of experience in AI/ML or backend software engineering.
  • Strong hands-on experience with Microsoft Azure AI services.
  • Proven experience in building and deploying RAG (Retrieval-Augmented Generation) applications.
  • Proficient in Python, including building RESTful APIs, microservices, and data processing pipelines.
  • Familiarity with vector databases, embedding models, and semantic search.
  • Experience with Azure AI SDKs, REST APIs, and security/authentication mechanisms.
  • Strong understanding of NLP, LLMs, prompt engineering, and AI agent design.
  • Excellent problem-solving, collaboration, and communication skills.
Bonus Points
  • Experience integrating Azure AI services into enterprise workflows or internal tools.
  • Knowledge of LangChain, Semantic Kernel, or similar LLM frameworks.
  • Familiarity with CI/CD pipelines and infrastructure-as-code on Azure.
  • Exposure to MLOps and model lifecycle management on Azure ML.
  • Experience working in agile development environments.

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