Lead Machine Learning Engineer (M/F)

Job title:

Lead Machine Learning Engineer (M/F)

Company:

PaHRtners

Job description

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).ResponsibilitiesAs 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.

Profile

• 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.

Offer

• 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.

Expected salary

Location

Wallonie

Job date

Sun, 26 May 2024 03:20:02 GMT

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