AIML Engineer – Production Machine Learning

Requirement ID: Posted On: 12 Aug 2026 Location: Brussels Belgium (TBEL Brussels) Start Date: 30 Sep 2026 Duration: 6 Months Status: Open Experience: 68 Years

We are seeking an experienced AI/ML Engineer with a strong track record in deploying maintaining and monitoring machine learning models in production environments. This role is handson and requires deep practical experience across Python ML libraries Azure Machine Learning and modern MLOps practices.

You will be responsible for packaging serving monitoring and troubleshooting ML services ensuring reproducibility interpretability and operational excellence across the full lifecycle of AI/ML solutions.

• Deploy package and maintain AI/ML models and services in production environments.
• Build and manage ML pipelines for training testing serving and monitoring.
• Ensure ML models are reproducible interpretable and aligned with governance standards.
• Monitor and troubleshoot production ML services ensuring reliability and performance.
• Work with Python and ML libraries (pandas scikitlearn xgboost) to develop robust model solutions.
• Collaborate with crossfunctional teams to ensure seamless integration of ML services.
• Apply best practices in MLOps including versioning CI/CD model registry and automated deployment.
• Work within Azure Machine Learning and Azure cloud environments to operationalize ML workloads.
• Maintain highquality documentation and communicate technical concepts clearly to stakeholders.

• 5 years of handson experience with Python and ML libraries: pandas scikitlearn xgboost.
• Proven experience deploying and maintaining AI/ML services in production.
• Strong understanding of AI/ML application development testing serving monitoring and troubleshooting.
• Experience ensuring model reproducibility and interpretability.
• Knowledge of Azure Machine Learning (Azure ML) and Azure cloud services.
• Experience monitoring and maintaining ML services postdeployment.
• Strong problemsolving skills and ability to work independently.
• Excellent communication skills and ability to explain complex concepts clearly.

• Digital: Microsoft Azure
• Digital: Azure Machine Learning (ML)

Brussels Belgium