This organisation is currently undergoing an IT / Data integration project and is looking for an experience ML Data Engineer. You will have the opportunity to work alongside an experienced data team (Devops engineers, data scientists and developers) to deploy ML models with a focus on using DataBricks, AWS and Azure Devops.
- You will be responsible for transitioning existing models from Data bricks into production using Machine learning and data pipeline best practices.
- You will be responsible for end to end ML and data pipelines
- You will be responsible for designing, building and deploying complex solutions to solve organisational problems.
- You will play a key role in reviewing recommendations / solutions and making adjustments where applicable.
- 3 + years experience deploying ML models into production.
- 3+ years experience building data pipelines with a focus on Azure Devops and AWS.
- 3+ years experience with Databricks (notebook prototypes)
- 4 + years experience using Python and Spark.