Azure AI Platform Engineer

Job Summary We are seeking an experienced Azure AI Platform Engineer to design and implement advanced AI/ML solutions across a variety of domains including prediction, recommendation, text analytics, computer vision, and generative AI. The ideal candidate will have hands-on experience with Azure architecture, AI platform engineering, and ModelOps, and will collaborate with cross-functional teams to deliver scalable and innovative AI solutions. Key Responsibilities Design and develop AI/ML applications including predictive models, recommendation engines, bots, and content intelligence. Apply advanced statistical techniques and machine learning frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Build and deploy GenAI solutions using Azure OpenAI, Google Vertex Gen AI, AWS LLM models, and other foundational models (e.g., BERT, Transformers, PaLM). Work with RAG technologies, LLM frameworks, embedding models, and vector databases. Develop APIs and backend services using Python frameworks such as Django, Flask, FastAPI, etc. Collaborate on GenAI use cases, proof-of-concepts, and production deployments across industries. Create and maintain data infrastructure for ingestion, normalization, and integration of datasets. Communicate complex technical concepts to non-technical stakeholders and conduct internal training sessions. Support client engagements and ensure successful delivery of AI projects. Participate in design workshops and contribute to solution architecture and implementation planning. Required Qualifications Proven experience in Azure architecture and Azure Kubernetes services. Strong background in AI platform engineering and ModelOps. Proficiency in Python and related libraries for machine learning and backend development. Deep understanding of ML, deep learning, NLP, GANs, and generative models. Experience with LLM APIs, model registries (e.g., Hugging Face), and vector databases. Familiarity with GenAI platforms and tools across cloud providers. Strong communication and collaboration skills. Preferred Qualifications Experience with RAG models and agent frameworks. Exposure to additional scripting languages such as R or Ruby. Prior experience in client-facing roles or consulting environments. Education: Bachelors Degree