Machine Learning Engineer

About the role

Our partner is seeking a Machine Learning Engineer to join a remote, fast‑moving team in Belgium. The role focuses on building and improving AI‑powered products by developing machine learning solutions that address real‑world challenges.

Key responsibilities

• Develop, train, test, and evaluate machine learning models to support product objectives.
• Prepare, clean, analyze, and manage datasets used for model training and validation.
• Improve model performance through experimentation, optimization, and continuous testing.
• Deploy, maintain, and monitor machine learning models in production environments.
• Collaborate with software engineers to integrate machine learning capabilities into products and applications.
• Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
• Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
• Write clean, maintainable, and efficient code to support scalable AI solutions.
• Contribute to technical discussions and help solve complex engineering challenges.
• Participate in the continuous improvement of machine learning workflows and development processes.

Required profile

• At least 1 year of experience in machine learning, software engineering, data science, or strong personal projects demonstrating machine learning capabilities.
• Basic understanding of machine learning concepts, algorithms, and model development processes.
• Strong problem‑solving skills and a motivated, curious attitude.

Required skills

• Proficiency in Python programming.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit‑learn.
• Familiarity with Git and version‑control practices.
• Ability to work with data, clean datasets, and write maintainable code.