Machine Learning & AI Engineer - Brussels - ASAP Start - Freelance/CDI
Machine Learning & AI Engineer - Brussels - ASAP Start - Freelance/CDI
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
They participate in the development deployment and monitoring of AI services which means they contribute to data quality checks data flow design the design of the models themselves and their overall integration into the production environment.
ML Engineers are meant to facilitate the communication between AI & Analytics teams and IT production with regards to the deployment of ML models ensuring that models put in production are equipped with the appropriate data pipelines and monitoring.
ML Engineers contribute to Machine Learning projects by:
- Working with the Data Scientists to define and develop the target solution with production constraints in mind. This allows to select the correct run infrastructure and serving model (e.g. data ingestion scheme API synchronicity ) to address the business requirements (real-time responses processing volumetry )
- Contributing to the automation of the different elements of the ML pipeline in order to integrate and deploy them in the production environment (e.g. building Docker/VM images prepare unitary regression and integration tests )
- Supporting Data Scientists on the usage of the existing industrial solutions available to build and monitor AI services (i.e. the CI/CD tools)
- Supporting IT Production on the parameterization of the target environment
Ensuring that the model runs without errors is retrained if needed (incl. automatically) and is monitored both from the IT and the business perspective.
Additional Information :
Technical Experience Required:
- Containerization / virtualisation
- AI platforms & IDEs
- CI/CD (gitlab-ci)
- Code model & data versioning
- Python
- Usage of package manging tools and experience in dependency management
- postgresql
- Experience with integration using different technologies (distributes/mainframe) and infra components
- Model compression techniques
- ELT / ETL tools
- Big data tools (Spark)
- Data flow processing
- Data visualization tools
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
