Production ML Engineer: Pipelines, MLOps & Cloud

Movify SRL; Brussel Hoofdstad; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Competitive pay

Flexible schedule

Learning budget

Cutting-edge projects

Collaborative culture

Résumé du poste

Movify SRL is seeking an experienced Machine Learning Engineer to design, deploy, and optimize production-grade ML models. You will build scalable training and inference pipelines, collaborate with data scientists, and ensure robust monitoring and reliability at scale.

The role requires strong Python skills, hands-on ML deployment with frameworks like TensorFlow, PyTorch, or Scikit-learn, and experience with cloud platforms (AWS/Azure/GCP) and CI/CD. Fluency in English and FR or NL is expected.

Qualifications

• 3+ years of experience in machine learning engineering, software engineering, or a related role.
• Strong proficiency in Python, with solid software engineering practices.
• Hands-on experience deploying ML models using TensorFlow, PyTorch, or Scikit-learn.
• Experience building data and ML pipelines (batch and/or real-time).
• Solid knowledge of SQL and working with large-scale datasets.
• Familiarity with MLOps concepts (CI/CD, model versioning, monitoring, retraining).
• Experience with cloud platforms (AWS, Azure, or GCP) and containers (Docker, Kubernetes).
• Git and collaborative development workflows; ability to explain trade-offs to non-technical stakeholders.
• Proactive, quality- and scalability-focused mindset; fluent in FR or NL plus strong English.

Responsabilités

• Design, build, and deploy ML models into production environments.
• Develop and maintain scalable ML pipelines for training, inference, and monitoring.
• Collaborate with data scientists to translate models into robust, production-ready solutions.
• Optimize model performance, latency, and reliability at scale.
• Implement automated testing, validation, and monitoring for ML systems.
• Integrate ML solutions with APIs, applications, and data platforms.
• Ensure reproducibility, versioning, and traceability of models and data.
• Contribute to ML engineering standards, best practices, and the company’s data & AI strategy.

Description du poste

Movify SRL is seeking an experienced Machine Learning Engineer to design, deploy, and optimize production-grade ML models. You will build scalable training and inference pipelines, collaborate with data scientists, and ensure robust monitoring and reliability at scale.

The role requires strong Python skills, hands-on ML deployment with frameworks like TensorFlow, PyTorch, or Scikit-learn, and experience with cloud platforms (AWS/Azure/GCP) and CI/CD. Fluency in English and FR or NL is expected.