Machine Learning Engineer

A great opportunity to join a mid-sized Federal Government department as a Machine Learning Engineer. 

This team is seeking experienced Machine Learning engineer to work closely with a team of data scientists, Azure platform engineer and data architects. You would be responsible for driving the design and implementation of MLOps using a combination of Azure Databricks, Azure Machine Learning, Azure Kubernetes and other Azure products.

Some responsibilites include: 

• Work with data scientists to convert existing model development code into models which can be served robustly in production
• 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
• Work within an Agile framework using Azure DevOps and be accountable for planning, analysis, design, development, and delivery activities

Desirable experience:

• Azure Databricks, Azure Machine Learning, Azure Kubernetes and other Azure products
• Strong experience in using Python and Apache Spark
• Experience creating CI/CD pipelines for model deployment
• Experience writing and testing ML code

Minimum Baseline Security Clearance Required

This team is looking for a professional passionate about all thing’s technology, likes to be challenged and encouraged to excel, and motivated to keep upskilling. If you think this role sounds like you – click APPLY or call Alaa Samsam on 0434 209 239!