Engineer AI & Automation (all genders)(1039)

Engineer AI & Automation (all genders)

Site: Aschaffenburg

Working hours: Full-time

Start date: By arrangement

ERA pay group / ERA wage group 11

What you can change — your duties

• Develop and integrate AI-driven solutions to optimize production throughput, resource utilization, and manufacturing efficiency worldwide
• Implement computer vision systems for automated inspection and defect detection on high‑precision assembly lines
• Design and deploy predictive maintenance models in collaboration with maintenance teams to reduce unplanned downtime
• Analyze large and complex manufacturing datasets to identify patterns, bottlenecks, and opportunities for improvement
• Support configuration and operation of Industrial IoT (IIoT) devices, sensor networks, and real‑time data pipelines
• Create technical documentation, standard procedures, and guidelines for AI-driven processes and workflows
• Identify, evaluate, and benchmark innovative manufacturing technologies (AI, robotics, IIoT, software systems) for future production concepts
• Act as an internal consultant and advisor for advanced digital and AI applications for global and local stakeholders
• Contribute to global process and technology roadmaps, and support implementation together with operational units
• Manage special projects related to AI, automation, robotics, and advanced manufacturing, including reporting and presentations
• Enable global knowledge sharing and benchmarking within the Advanced Manufacturing community

Impress Us – Your Qualifications

• Bachelor’s or Master’s degree in Mechanical/Industrial Engineering, Computer Science or similar, ideally with AI focus
• Strong foundational understanding of manufacturing processes, lean principles, and automotive quality standards
• Hands‑on programming skills (Python or R) and experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
• Practical experience with AI use cases in manufacturing (e.g., vision systems, predictive maintenance, yield optimization)
• Skills in data engineering: collecting, cleaning, and structuring large datasets from machines and sensors
• Understanding of IIoT architecture and common communication protocols (OPC‑UA, MQTT)
• Strong analytical mindset with the ability to validate AI models and translate data into actionable insights
• Ability to work in cross‑functional and international teams, bridging manufacturing engineering and data science
• High motivation to explore new technologies and contribute to continuous innovation (Industry 4.0, automation, robotics)
• Professional fluency in English; German skills are a plus
• Willingness to travel internationally as required

What We Offer — Your Benefits

• First aid station & Health Care Centre
• Company sport
• Company canteen
• Further training as well as in‑house training
• Free parking
• Flexible working time
• Employee events (Christmas party, etc.)
• JobRad

Contact

We look forward to receiving your application! Please send by e-mail to your contact:

Lukas Schmitt

- 1624

Your contact will also be available for any queries you may have.