As a Lead Machine Learning Engineer, you play a major role in leading a team developing a high-quality predictive maintenance system for AC motors based on voltage/current data from our RED sensors deployed in the field. Here are some of the responsibilities that will be assigned to you:
• You will lead data analytics initiatives, defining complex business problems and establishing clear objectives through collaboration with stakeholders.
• You will design, implement and apply advanced machine learning techniques and algorithms in order to improve our predictive maintenance system.
• You will adapt and implement state of the art papers from literature to improve detection performances.
• You will supervise the data analysis process of the data from our RED sensors deployed in the field, review the data pipelines and ensure high data quality
• You will help analyze and diagnose potential faults arising on the industrial assets in collaboration with our asset specialists and data scientists, and communicate clear advice to the customers.
• You will continuously build, improve, test and deploy our robust production-ready cloud systems to further optimize company processes.
Profile / Requirements :
• Master's degree/PhD in engineering or computer science
• 3+ years of industry experience in machine learning and data processing
• You have experience with Python, ML libraries (such as scikit-learn, PyTorch, etc), SQL, Spark, Pandas, …
• You have in-depth knowledge of statistical analysis, machine learning and deep learning techniques, ideally applied to anomaly detection.
• You are familiar with the main concepts and best practices of MLOps.
• You are familiar with cloud services and infrastructure on AWS.
• You are fluent in French or English, Dutch is a bonus.
• Good entrepreneurial spirit, adaptability, autonomy with achievement oriented skills.
• Team lead experience is a plus