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 communicationTeam collaborationDocumentation and knowledge sharingEducation : Bachelor's / Master’s in Computer Science or equivalent
Certifications : GCP Professional Cloud Developer / Microsoft Azure Certified Developer