Multiple x ML Engineers

⁠⁠⁠The department is seeking experienced machine learning engineers to drive the design and implementation of MLOps using a combination of Azure Databricks, Azure Machine Learning, Azure Kubernetes and other Azure products.

Our ideal candidate is someone who can communicate clearly and work with data scientists, Azure platform engineers and data architects to establish robust foundational MLOps and MLOps best practices within the department.

You will be required to:

• Work with data scientists to convert existing model development code into models which can be served robustly in production. Python and Apache Spark experience is required.
• Work with data architects and Azure platform engineers to adopt the design of the MLOps architectural patterns to flexibly support different ML model serving requirements across the department.
• Implement code testing and deployment principles in Dev/Test/Prod environments and using version control via GIT and Azure DevOps.
• Participate in code review and communicate any designs and code clearly with appropriate documentation of ideas and processes.
• Work within an Agile framework using Azure DevOps and be accountable for planning, analysis, design, development, and delivery activities.