Job description

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

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