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Louvain-la-Neuve, Belgique

Lead Machine Learning Engineer (M/F)

  • Experience 3 to 5 years
  • Type of role IT
  • Region Wallonia
  • Activity Engineering

Contact Baptiste Vrignaud
+32 (0)472 88 76 22

More info on INSENS

INSENS is an innovative company that develops predictive maintenance monitoring and energy optimization solutions to reduce unplanned production downtime and to support industrial partners in a more sustainable and efficient energy use.

Founded in 2019 by three co-founders from UCL, the team now numbers around ten people who adhere to Insens’ values as follow: Always growing, Collaboration & care, customer-driven, responsible autonomy and work-hard, play-hard.

The company’s headquarters are based in Louvain-la-Neuve. To strengthen their growth, we are currently looking for a Lead Machine Learning Engineer (M/F).


As a Lead Machine Learning Engineer and reporting to the CTO, 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 Insens’ RED sensors deployed in the field.

Your main responsibilities are:

  • 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.


  • 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, Machine Learning 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.


  • A permanent contract with an attractive salary package (with extralegal benefits such as a company car, insurances, and performance bonus).
  • The opportunity to tackle one of the major concerns of the 21st century, energy waste, with a cutting-edge technical solution.
  • The chance to be part of a company at the forefront of a rapidly growing field.
  • Joining a highly skilled team where collaboration and excellence are the keywords.

Your application and related information will remain strictly confidential.

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