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Azure Generative AI Engineer

Azure Generative AI Engineer

LTIMindtreeindore, madhya pradesh, in
1 day ago
Job description

Azure Generative AI Engineer

Experience : 5 - 12 years

Location : Pan India

Required Skills & Qualifications :

  • Strong programming experience in Python , including frameworks such as FastAPI and Flask .
  • Deep understanding of Generative AI , LLMs , and RAG (Retrieval-Augmented Generation) methodologies.
  • Proficiency in Azure cloud services , especially Azure OpenAI , Functions , AI Search , and Cosmos DB .
  • Hands-on experience with machine learning , deep learning , and natural language processing (NLP) .
  • Familiarity with ML / DL frameworks such as TensorFlow , PyTorch , and libraries like scikit-learn , spaCy , etc.
  • Solid knowledge of machine learning algorithms including GPTs , CNNs , RNNs , k-NN , Naive Bayes , SVM , and Decision Forests .
  • Experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices.

Key Responsibilities :

  • Design, develop, and deploy Generative AI applications using Python , FastAPI , Azure Durable Functions , and Azure OpenAI Services .
  • Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications.
  • Work on end-to-end Generative AI projects , including data ingestion, model integration, evaluation, and refinement.
  • Integrate AI / ML search and data services such as Azure Cognitive Search , Cosmos DB , and other Azure-native tools.
  • Automate key components of the RAG workflow and ensure production-grade performance and scalability.
  • Evaluate, validate, and fine-tune the outputs of Generative AI models for accuracy and relevance.
  • Implement monitoring , observability , and guardrails to ensure responsible and secure use of AI technologies.
  • Collaborate with cross-functional teams to deliver innovative AI solutions.
  • Soft Skills :

  • Excellent communication
  • Team collaboration
  • Documentation and knowledge sharing
  • Education : Bachelor's / Master’s in Computer Science or equivalent

    Certifications : GCP Professional Cloud Developer / Microsoft Azure Certified Developer

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