Machine Learning Engineer
Proximus
As an Machine Learning Engineer, you will play a key role in developing end-to-end solutions for AI use cases. By taking up a use case right from the start you will help business define and scope the problem, pick the right ML solution and technology as well as ensure implementation, integration and deployment of your solution to production. You will do so while ensuring that our internal governance processes and best practices are respected. You will also collaborate with other team members in knowledge sharing as well as continuously improving our way of working.Responsibilities
Profile
Technical skills
– Translating business requests into data requirements.– Identifying high-value use cases through data exploration and visualization.– Developing AI solutions (incl. feature engineering, model fitting, etc.).– Deploying scalable AI applications to production.
– MLOps practices, e.g. orchestration with Airflow, Gitlab CI/CD, etc.– Containerized deployment of ML products – e.g. docker, podman, KubernetesAttitudes/Behavior
Languages
Brussel
Wed, 26 Jun 2024 07:03:34 GMT
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