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Senior AI Engineer

Senior AI Engineer

Blend360Hyderabad, Telangana, India
25 days ago
Job description

We are seeking a skilled AI Engineer with strong hands-on experience in Azure AI and Machine Learning services . The ideal candidate will design develop and deploy scalable AI / ML and Generative AI solutions leveraging Azure Cloud technologies Microsoft Fabric and Azure AI Foundry to solve complex business challenges and drive innovation

Key Responsibilities

  • Design develop and deploy AI / ML models using Azure Machine Learning Azure Databricks and Microsoft Fabric.
  • Build and operationalize LLM-based solutions leveraging Azure AI Foundry Azure OpenAI and Cognitive Services.
  • Implement RAG-based architectures using Azure AI Search Vector Databases and LangChain or LangGraph frameworks.
  • Collaborate with Data Engineers and Architects to integrate AI applications with Microsoft Fabric datasets ensuring governance data lineage and reliability.
  • Implement MLOps and LLMOps best practices for continuous integration delivery and monitoring of AI models using Azure ML Pipelines and Azure DevOps.
  • Optimize model performance and ensure scalability security and reliability of deployed solutions.
  • Work closely with business and technical stakeholders to translate requirements into AI-driven solutions.
  • Stay up to date with emerging trends in AI GenAI and cloud-based ML technologies.

Qualifications :

  • 58 years of experience in building and deploying AI / ML or GenAI solutions in production environments.
  • Strong expertise in Azure Machine Learning Azure Databricks Microsoft Fabric Azure AI Foundry and Azure Cognitive Services.
  • Proficiency in Python and major ML frameworks (PyTorch TensorFlow Scikit-learn).
  • Hands-on experience with RAG architecture prompt engineering and LLM-based application development.
  • Experience with MLOps / LLMOps pipelines model tracking and CI / CD using Azure DevOps.
  • Familiarity with data integration across Microsoft Fabric Azure Data Factory or Synapse.
  • Strong understanding of model lifecycle management monitoring and performance optimization using MLflow App Insights and Azure Monitor.
  • Excellent problem-solving debugging and collaboration skills.
  • Remote Work : No

    Employment Type : Full-time

    Key Skills

    APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

    Experience : years

    Vacancy : 1

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