The Job

Applied Machine Learning Engineer - IoT

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Data engineering · Mjukvaruutveckling

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I korthet

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.

Ansvarsområden

  • 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.

Krav

  • 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.

Förmåner

  • 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
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Företag

Atlas Copco

Publicerade jobb

för 1 dag sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Mellannivå

Platser

Antwerp, Belgium

Kvalifikation

Masterexamen

Sökande

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