About the Role:

We are seeking an experienced Lead AI Engineer with a strong background in Azure-based AI solutions. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent development. Proficiency in Python toolkits is highly preferred. This role offers an opportunity to work on cutting-edge AI projects, leveraging state-of-the-art tools to build intelligent and scalable solutions.

Key Responsibilities:

Design, develop, and deploy AI solutions leveraging Azure AI services.
Implement LLM-powered applications, fine-tuning models for specific use cases.
Develop Retrieval-Augmented Generation (RAG) workflows to enhance AI-based search and decision-making.
Build and optimize AI agents for automation, recommendation, and conversational AI.
Utilize Python toolkits for AI model development, testing, and deployment.
Work with cross-functional teams to integrate AI solutions into existing platforms.
Ensure scalability, efficiency, and reliability of AI models and pipelines.
Stay up to date with advancements in AI, machine learning, and cloud computing.

Required Skills & Experience:

5+ years of experience in AI/ML engineering.
Hands-on expertise with Azure AI services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services).
Proven experience in working with LLMs, including fine-tuning and prompt engineering.
Strong knowledge of RAG techniques and vector search implementation.
Experience in designing and deploying AI agents.
Proficiency in Python and its AI/ML-related libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face, FastAPI).
Experience with Vector Databases (e.g., Pinecone, FAISS, Weaviate) and GraphQL (preferred).
Familiarity with MLOps practices, CI/CD for AI models, and cloud-based deployment.
Strong problem-solving skills and ability to work in a collaborative environment.

Nice-to-Have:

Experience with Kubernetes, Docker, and cloud-native AI solutions.
Understanding of Natural Language Processing (NLP) and Knowledge Graphs.
Background in Reinforcement Learning with Human Feedback (RLHF).
Previous experience working with enterprise AI applications.

Zensar Technologies

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