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