AI Engineer

Atlas Copco Airpower N.V.; Bilzen; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Atlas Copco Group Belgium Bilzen-Hoeselt is seeking an AI Engineer to drive AI‑driven solutions across our Distribution Center, bridging technology and operations.

You will design, implement and monitor ML models, coordinate projects, and work with analytics, IT, and logistics teams to deliver measurable efficiency gains. The role emphasizes data quality, governance and scalable deployment in a fast‑moving environment.

Qualifications

• Background in data science, computer science or engineering with AI focus.
• Experience translating business needs into AI use cases and KPIs.
• Familiarity with ML concepts, data analytics and scalable deployment.

Responsabilités

• Identify, prioritize AI opportunities across DC processes.
• Design, develop, test and deploy AI/ML models to improve performance.
• Integrate AI solutions with existing IT systems and dashboards.
• Coordinate AI projects across departments and drive adoption.
• Ensure data quality, governance and measurable business impact.

Connaissances

ML concepts

Data analytics

Python

Power BI

Cloud platforms

Stakeholder management

Formation

Data Science

Computer Science

Engineering

Outils

Python

Power BI

Data pipelines

Description du poste

Supply Chain/Logistics Atlas Copco Group Belgium Bilzen-Hoeselt

To support our ongoing digital transformation journey, Power Tools Distribution is looking for an AI Engineer to play a pivotal role in identifying, coordinating, and implementing AI-driven solutions across our Distribution Center.

The successful candidate will work closely with all departments to identify opportunities where Artificial Intelligence can improve speed, efficiency, accuracy, cost, and decision‑making.

As both a technical expert and a business partner, you will bridge the gap between technology and operations, translating complex operational challenges into scalable, value‑driven AI solutions. You will drive the adoption of AI technologies, ensure successful implementation, and help shape the future of our data‑driven organization.

Key Responsibilities

• Identify, propose, and prioritize AI and automation opportunities across DC processes
• Coordinate and support AI startup initiatives and pilot projects within different departments.
• Translating business needs into AI use cases with clear value, KPIs, and efficiency gains.

Design & Implementation

• Design, develop, test, and deploy AI / machine learning models to improve operational performance.
• Implement AI solutions focused on speed, efficiency and quality throughout the entire DC
• Integrate AI solutions with existing IT systems, data platforms, and dashboards.
• Work closely with all DC teams to understand processes end-to-end and ensure solutions are practical and scalable.
• Act as AI point of contact
• Support change management by explaining AI concepts in a clear, accessible way to non-technical stakeholders and help our people in the journey to reach our full potential
• Ensure data quality, availability, and proper usage for AI applications.
• Monitor model performance, retrain models when needed, and continuously improve solutions.
• Document solutions, standards, and best practices to support long-term scalability.
• You also define and roll out standards and governance for AI-assisted work, ensuring alignment with security, compliance, and data policies within the Atlas Copco Group

To succeed, you will need

Education

• Data Science
• Computer Science
• Engineering (Industrial, Electrical, Software, or similar)

Experience

• Nice to have a 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.

Technical Skills

• Strong knowledge of machine learning, data analytics, and AI concepts.
• Experience with programming languages such as Python (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.

Soft Skills

• 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.

In return, we offer

• A key role in shaping the AI roadmap of a modern Power Tools Distribution Center.
• This role will enjoy 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.

Atlas Copco Group enables technology that transforms the future. We innovate to develop products, services and solutions that are key to our customers' success. Our four business areas offer technologies for air and gas compression, vacuum and abatement, automated assembly and quality control, mobile energy management and power generation as well as portable and industrial flow technologies.In 2024, Atlas Copco Group had revenues of BSEK 177 and at year end about 55 000 employees.