Applicants must be based in Belgium to be eligible
Machine Learning Engineer
Are you passionate about machine learning and ready to take on impactful projects? We’re hiring a Machine Learning Engineer to join one of our client’s dynamic teams. Whether you're just starting your ML journey or bring extensive hands-on experience, we have roles that match your level and support your professional development.
Your Role
Develop and deploy machine learning models to tackle real business problems.
Create and optimize end-to-end ML pipelines—data processing, feature engineering, training, evaluation, and deployment.
Work closely with product teams, software engineers, and analysts to transform business needs into AI-driven solutions.
Apply best practices in hyperparameter tuning and model evaluation to boost performance.
Deliver production-grade systems using modern MLOps stacks and clean code principles.
Monitor and maintain ML models in production to ensure stability and accuracy over time.
Thoroughly document your workflows, design decisions, and deployment strategies.
Stay up to date with the latest AI/ML advancements and recommend tools and methods to the team.
Your Profile
Solid hands-on experience with ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
Proficient in Python; experience in R, Java, or C++ is a plus.
Skilled in data manipulation using pandas and NumPy.
Familiar with cloud environments like AWS, Azure, or GCP, and container systems such as Docker and Kubernetes.
Comfortable using MLOps tools like MLflow, Kubeflow, or similar platforms.
Experience working with big data technologies (e.g., Spark, Hadoop) and relational or NoSQL databases.
Strong understanding of deep learning architectures such as CNNs, RNNs, and Transformers.
Soft Skills
✔ Strong communicator and effective team player
✔ Comfortable in fast-paced and evolving environments
✔ Self-driven and organized
✔ Creative and analytical problem-solver
✔ Able to simplify and explain complex ML topics to non-technical stakeholders
Type d'emploi : Freelance/Indépendant
Langue:
Anglais (Requis)
Lieu du poste : Travail hybride (1000 Bruxelles)