AI Engineer
Teknik, data och digitalt · Data, AI och analys · Artificiell intelligens · Data engineering · Dataanalys
I korthet
Atlas Copco Group is seeking an AI Engineer to spearhead AI-driven solutions within their Power Tools Distribution Center in Bilzen-Hoeselt, Belgium. This hybrid role involves identifying, developing, and implementing AI/ML models to enhance operational efficiency, working closely with various departments and stakeholders.
Ansvarsområden
- Identify, propose, and prioritize AI and automation opportunities across Distribution Center processes.
- Coordinate and support AI startup initiatives and pilot projects.
- Translate business needs into AI use cases with clear value, KPIs, and efficiency gains.
- Design, develop, test, and deploy AI / machine learning models.
- Implement AI solutions focused on speed, efficiency, and quality.
- Integrate AI solutions with existing IT systems, data platforms, and dashboards.
- Work closely with DC teams to understand processes and ensure solutions are practical and scalable.
- Act as AI point of contact and support change management.
- Ensure data quality, availability, and proper usage for AI applications.
- Monitor model performance, retrain models, and continuously improve solutions.
- Document solutions, standards, and best practices.
- Define and roll out standards and governance for AI-assisted work.
Krav
- Master’s degree in Artificial Intelligence, Data Science, Computer Science, or Engineering (Industrial, Electrical, Software, or similar).
- Strong knowledge of machine learning, data analytics, and AI concepts.
- Experience with programming languages such as Python.
- Strong analytical and problem-solving mindset.
- Ability to identify business challenges and opportunities, and translate them into scalable AI solutions with measurable business impact.
- Proactive, structured, and able to work independently.
- Strong communication and stakeholder management skills.
- Hands-on mentality with a continuous improvement mindset.
Önskade kvalifikationer
- First experience with AI / machine learning implementation in an industrial, logistics, or operational environment is a strong plus.
- Experience working in or with distribution centers, manufacturing, or supply chain is an advantage.
- Experience coordinating projects across multiple departments is preferred.
- Familiarity with data pipelines, databases, and visualization tools (e.g. Power BI is a plus).
- Experience with cloud platforms or industrial AI tools is an advantage.
Förmåner
- A key role in shaping the AI roadmap of a modern Power Tools Distribution Center.
- Significant exposure within the organization.
- High-impact projects with direct influence on efficiency, cost, and performance.
- Collaboration with experienced operational and engineering teams.
- A dynamic environment where innovation and initiative are encouraged.
#AI#Machine Learning#Supply Chain#Logistics#Distribution Center#Digital Transformation