Responsibilities: Hands-on experience with cloud platforms (Azure) is a must Azure infrastructure design and deployment using automation tools like Terraform and ARM template. Experience in designing and implementing ML platforms, cognitive APIs Experience in implementing container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans etc. Experience with MLOps, CI/CD, model monitoring, and automation API integration and containerization (Docker, Kubernetes, AKS) Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs is a plus. Skilled in prompt engineering, model fine-tuning, and evaluation Building data pipelines and integrating structured/unstructured data Understanding of data governance and regulatory compliance (HIPAA, GDPR) Technical leadership across architecture and engineering teams Effective collaboration with cross-functional teams (product, data, DevOps) Strong communicator with experience presen...