AI Engineer: DC Automation & Analytics

Atlas Copco Holding GmbH

Bilzen-Hoeselt

Hybride

EUR 65 000 - 90 000

Plein temps

Il y a 12 jours
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Résumé du poste

Power Tools Distribution n.v. is seeking an AI Engineer to identify, coordinate and implement AI-driven solutions across our Distribution Center. You will partner with all departments to uncover opportunities where AI can speed up processes, improve accuracy and reduce costs.

As a technical expert and business collaborator, you will translate complex operational challenges into scalable AI use cases, drive adoption of AI technologies, and help shape a data‑driven future for the organization.

Qualifications

  • Master’s degree or equivalent in AI, data science, CS, or engineering.
  • Experience applying AI/ML in industrial or logistics settings is a plus.
  • Ability to translate business needs into AI use cases with measurable value.

Responsabilités

  • Identify, propose, and prioritize AI opportunities across DC processes.
  • Coordinate AI initiatives and pilots across departments.
  • Translate business needs into AI use cases with clear KPIs and efficiency gains.
  • Design, develop, test, and deploy AI/ML models to improve operational performance.
  • Integrate AI with existing IT systems, data platforms, and dashboards.

Connaissances

Python
AI / ML concepts
Data analytics
Power BI

Formation

Master’s degree in Artificial Intelligence
Master’s degree in Data Science
Master’s degree in Computer Science
Master’s degree in Engineering (Industrial, Electrical, Software, or similar)

Outils

Power BI
Cloud platforms
Industrial AI tools

Description du poste

Power Tools Distribution n.v. is seeking an AI Engineer to identify, coordinate and implement AI-driven solutions across our Distribution Center. You will partner with all departments to uncover opportunities where AI can speed up processes, improve accuracy and reduce costs.

As a technical expert and business collaborator, you will translate complex operational challenges into scalable AI use cases, drive adoption of AI technologies, and help shape a data‑driven future for the organization.

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