Br /br /We are looking for an Expert Machine Learning Engineer to help shape the vision and technical roadmap of an advanced employee virtual assistant. In this role, you will be instrumental in building production-ready ML solutions, ensuring seamless integration with IT production systems, and mentoring other team members on best practices.br /br /br / br /br /br / br /br /br /Roles responsibilitiesbr /br /br /br /Collaborate with s to design ML solutions with production constraints in mind (real-time responses, processing volumes, API synchronicity).br /br /br /br /br /Build and deploy Python MicroServices, defining clear service boundaries for efficient teamwork.br /br /br /br /br /br /Automate ML pipelines for production deployment using Docker/VM images and CI/CD workflows.br /br /br /br /br /br /Ensure models are monitored, retrained when needed, and fully operational in production.br /br /br /br /br /br /Share your expertise in Swagger, mocking, testing, and industrial coding standards with your colleagues.br /br /br /br /br / br /br /br /Skills experiencebr /br /br /br /br /br /br /At least 6 years of relevant experience in ML/AI engineering.br /br /br /br /br /br /Master#39;s degree in Computer Science or related field.br /br /br /br /br /br /Strong knowledge of:br /br /br /br /br /br /br /Containerization Cloud Computingbr /br /br /br /br /br /CI/CD pipelinesbr /br /br /br /br /br /Code, model data versioningbr /br /br /br /br /br /Relational databasesbr /br /br /br /br /br /Swagger/schema definitionbr /br /br /br /br /br /br /br /Project coordination experience is a plus.br /br /br /br /br /br /Languages: English (mandatory), French/Dutch (nice to have)br /br /br /br /br /br /Results-driven with attention to detailbr /br /br /br /br /br /Creative problem solver, proactive in learning and knowledge sharingbr /br /