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.

Required Skills & Qualifications :

- Strong programming experience in Python, including frameworks such as FastAPI and Flask.

- Deep understanding of Generative AI, LL Ms, 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.