Azure AI Platform Engineer

Job Summary The Azure AI Platform Engineer will design, develop, and implement advanced AI/ML and GenAI solutions using Azure and other leading cloud platforms. This role involves building scalable AI systems, creating data pipelines, integrating LLMs and RAG frameworks, and supporting AI initiatives across multiple industries. The engineer will collaborate with cross-functional teams and clients to deliver effective AI solutions while ensuring optimal architecture, performance, and reliability. Key Responsibilities Ideate and develop AI/ML applications including prediction, recommendation, text analytics, computer vision, bots, and content intelligence Apply statistical skills and advanced statistical techniques and concepts Utilize ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn Leverage Python open-source frameworks including Django, Flask, Django Rest, and FastAPI Apply deep knowledge of statistics, machine learning models, deep learning models, NLP, GANs, and other generative models Work with RAG technologies, LLM frameworks, model registries (e.g., Hugging Face), LLM APIs, embedding models, and vector databases Employ hands-on expertise with Azure OpenAI, Google Vertex Gen AI, AWS foundational LLMs, BERT, Transformers, PaLM, Bard, and related technologies Develop and implement GenAI solutions, collaborating with cross-functional teams to support successful execution of AI initiatives Assist in the design and implementation of GenAI use cases, projects, and POCs across various industries Work on RAG models and agent frameworks to enhance GenAI solutions through effective information retrieval Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights Collaborate with customers to understand requirements and deliver tailored AI solutions Interact with stakeholders to ensure client satisfaction and project success Communicate complex technical concepts clearly to non-technical audiences Conduct training sessions to enhance data science capabilities within the organization Required Qualifications 7+ years of experience with Azure architecture and Azure Kubernetes 3+ years of experience in AI platform engineering and ModelOps