Applied Machine Learning Engineer - IoT
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering · Software Engineering
In short
The Applied Machine Learning Engineer - IoT role focuses on applying machine learning and signal processing to analyze sensor data from industrial equipment, developing optimization and smart-maintenance models. This hybrid position, based in Antwerp, Belgium, requires a Master's degree and skills in Python, PySpark, and ML frameworks.
Responsibilities
- Apply machine learning and signal processing to real industrial equipment operating worldwide.
- Transform data from connected compressors into smart-maintenance and optimization solutions.
- Build models that make real machines run better using signal processing, machine learning, and mechanical systems knowledge.
- Turn sensor and machine data into optimization and smart-maintenance models that deliver measurable customer value.
- Work across the global connectivity ecosystem to bring proven optimization and uptime algorithms into the SMARTLINK AI platform.
- Analyze vibration, temperature, pressure, and operational data using time-domain and frequency-domain techniques.
- Leverage machine learning methodologies such as anomaly detection, predictive maintenance, classification, clustering, and forecasting.
- Extract valuable insights from equipment data and translate them into actionable improvements.
- Develop and enhance models focused on energy efficiency, performance optimization, and smart maintenance.
- Integrate, validate, and deploy optimization algorithms within the Smart Events engine and the broader connectivity platform.
- Take an end-to-end approach, spanning from physical equipment and controllers to the generation of insights and delivery of tangible business value.
- Collaborate closely with colleagues from engineering, marketing, and operations to shape product roadmaps and deliver comprehensive solutions.
Requirements
- Master's degree in engineering (Electronics, Computer Science, or equivalent).
- Skilled in Python, PySpark, Databricks, Pandas, Scikit-learn, MLflow.
- Hands-on experience with, or a strong interest in, signal processing and machine learning applied to sensor data.
- Strong interest in mechanical systems (compressors, dryers, chillers or similar) and eagerness to dive deeper into the domain.
- Enjoy working in diverse, international teams and comfortable collaborating across functions.
- Problem-solver with a passion for innovation and a drive to continuously improve.
Benefits
- International and diverse environment with specialists from different disciplines.
- Culture rooted in Swedish values: family feeling, respect, and diversity.
- Investment in employee development and well-being.
- Flexible work-life balance.
- Inclusive and caring environment.
- Comprehensive onboarding program, including guidance by a personal godmother/godfather.
- Access to global job opportunities as part of the Atlas Copco Group.
- Interesting compensation and benefits package, including health insurance, paid leave, and retirement benefits.
#Information Technology#Machine Learning#IoT#Signal Processing#Data Science
Company
Atlas Copco
Job Posted
1 day ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Mid-Senior
Locations
Antwerp, Belgium
Qualification
Master
Applicants
Be an early applicant