Senior Azure ML Infrastructure Engineer

Lead the design, development, and optimization of scalable ML infrastructure on Microsoft Azure. This role involves deploying and maintaining ML Ops frameworks, ensuring collaboration between data science, engineering, and DevOps teams, and scaling machine learning capabilities from experimentation to production.

• Lead architecture and implementation of production-grade ML infrastructure on Azure
• Design scalable training and inference environments for ML workloads
• Define and implement MLOps best practices and automate ML workflows
• Collaborate with data scientists and DevOps teams on ML deployment
• Implement enterprise-grade security and compliance controls for ML systems
• Ensure high availability, reliability, and scalability of ML systems

• No visa sponsorship is available.