Description
Role: MLOps EngineerContract: 6 Months
Location: Remote
Rate: 60EUR/h
What you will do!
You will become a part of the ML Engineering - Foundation CoE working in the Advanced Commercial Analytics CoE squads. The focus will be to productionize the developed ML models and ensure continuously integration of the model code developed by the Data Scientists. The project is seeking a contractor to speed up the deliveries for developed solutions in various business segments.
About the role!
- You will help deploy and operate prioritised models to PROD 2.
- You will educate CoE in DE and MLOps best practices and help draw up internal guidelines
- You will assist in pipeline foundation development or tailoring to theCoE needs together with the infrastructure department: Data Pipelines , CI/CD / Scheduling / Monitoring
- You will build the pipelines for the statistical models utilizing the existing tech stack
- You will be working closely with experienced Data Scientists and Machine Learning Operations Engineers as well as the business units who are consuming the data science services
About you!
- You will have extensive knowledge in Bash, Linux and Python
- You will have knowledge on best practices for producing quality code
- You will have knowledge of the pros and cons of the main CI/CD frameworks in the market and hands-on experience with at least one of these
- You will have experience working in a complex IT landscape with a mix of on-prem and cloud environments
- You will have experience with at least one of the different ML deployment patterns
- You will have experience working with ML lifecycle