About company :We are a Belgian engineering consulting firm that assists SMEs and large industrial organizations in bringing their innovation and R&D initiatives to life. Job Description :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. Required qualifications :
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
Expected salary
Location
Louvain-la-Neuve, Waals Brabant
Job date
Mon, 22 Apr 2024 22:48:01 GMT
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