Hybrid IoT ML Engineer — Smart Maintenance & Optimization

Atlas Copco Group; Antwerpen; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement benefits

Flexible work-life balance

Résumé du poste

Atlas Copco Group is seeking an Applied Machine Learning Engineer within the Applied Machine Intelligence team to convert sensor data from connected compressors into optimization and smart-maintenance models.

You will deploy energy efficiency and performance models across the global connectivity ecosystem, and collaborate across engineering, marketing and operations to shape product roadmaps.

The role is hybrid, with on-site work at Airpower in Antwerp, Belgium.

Qualifications

• Master's degree in engineering (Electronics, Computer Science, or equivalent).
• Proficient in Python, PySpark, Databricks, Pandas, Scikit-learn, MLflow.
• Hands-on experience with signal processing and ML applied to sensor data.
• Strong interest in mechanical systems (compressors, dryers, chillers) and domain curiosity.
• Enjoy working in diverse, international teams and across functions.
• Problem-solver with passion for innovation and continuous improvement.

Responsabilités

• Turn sensor data into optimization and smart-maintenance models.
• Integrate, validate, and deploy optimization algorithms.
• Collaborate across engineering, marketing, and operations to shape product roadmaps.

Connaissances

Python

PySpark

Databricks

Pandas

Scikit-learn

MLflow

Signal processing

Machine learning

Mechanical systems

Formation

Master's degree in engineering

Outils

Databricks

Description du poste

Atlas Copco Group is seeking an Applied Machine Learning Engineer within the Applied Machine Intelligence team to convert sensor data from connected compressors into optimization and smart-maintenance models.

You will deploy energy efficiency and performance models across the global connectivity ecosystem, and collaborate across engineering, marketing and operations to shape product roadmaps.

The role is hybrid, with on-site work at Airpower in Antwerp, Belgium.