Machine Learning Engineer
Role details
Job location
Tech stack
Job description
We are looking for an expert Machine Learning Engineer to help structure the vision around our employee virtual assistant into a coherent technical implementation roadmap. The ideal candidate will have experience in building and deploying Python micro-services, ensuring the boundaries between micro-services are correctly defined to allow different teams to work in parallel efficiently., * Develop ML pipelines that are production-ready by design or integrate existing ML solutions into industrial pipelines.
- Participate in the development, deployment, and monitoring of AI services, contributing to data quality checks, data flow design, and model integration into the production environment.
- Facilitate communication between AI & Analytics teams and IT production regarding the deployment of ML models.
- Work with Data Scientists to define and develop target solutions with production constraints in mind.
- Contribute to the automation of ML pipeline elements for integration and deployment in the production environment.
- Support Data Scientists and IT Production on the usage and parameterization of existing industrial solutions.
- Ensure models run without errors, are retrained if needed, and are monitored from both IT and business perspectives.
Requirements
- Master's degree in Computer Science or related field/experience.
- At least 6 years of relevant experience.
- Technical experience in containerization, AI platforms & IDEs, CI/CD, code, model & data versioning, cloud computing services, relational databases, and Swagger/schema definition.
- Business experience in project coordination.
Desired Skills and Certifications:
- Certifications in Linux, Python, and data science are a plus.
- Proficiency in English is mandatory; Dutch and French are nice to have.
- Strong communication skills, both oral and written.
- Ability to deliver results, attention to detail, creativity, and problem-solving skills.
- Proactive in continuous learning and knowledge improvement.
- Demonstrates efficiency, efficacy, and the ability to think outside existing processes and frameworks.
Telework Expectation:
50% on-site and 50% homeworking.
We are looking for a candidate who works with energy and empowerment to deliver great results and contribute significantly to the success of the company.