We are seeking a highly skilled Machine Learning Engineer to support a federal government client.
This role requires a unique combination of skills in machine learning, cloud engineering, and geospatial data. You will be instrumental in the development and operationalization of machine learning workflows, supporting a ML platform, and contributing to the evolution of an Open Data Cube (ODC) codebase.
Key Responsibilities:
1. Design and Operationalize ML Workflows:
Develop, code, and document machine learning workflows, including training, validation, and QA/QC processes.
2. Support MLOps Development:
Assist in the testing and operationalization of an AWS SageMaker-based MLOps platform prototype.
3. Enhance Open Data Cube:
Collaborate with developers on the testing and deployment of a new ODC version, ensuring all existing pipelines remain functional.
Requirements:
* Extensive experience with Python programming.
* Proficiency in workflow orchestration with Argo.
* Solid knowledge of AWS services and containerization.
* Proven experience in Machine Learning (ML) development, testing, and documentation.
* Direct experience with Open Data Cube (ODC) development and maintenance.
Benefits:
A great opportunity to apply your technical skills to cutting-edge projects in a dynamic environment.