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 : Télétravail hybride (1190 Vorst)