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Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.

The Machine Learning Engineer will play a pivotal role in driving innovation and operational efficiency through data‑driven solutions leveraging machine learning and artificial intelligence. You will be responsible for designing, developing, and deploying machine learning models that enhance product quality, optimize supply chain logistics, improve predictive maintenance, and support intelligent manufacturing processes. Working closely with cross‑functional teams including engineering, IT, and operations, you will leverage large‑scale data from manufacturing systems, sensors, and enterprise platforms to build scalable ML solutions. Your work will directly contribute to smarter decision‑making, reduced downtime and improving quality.

• Execute ML / AI projects related to but not limited to the following:
  • Advanced Vision Systems
  • Advanced autonomous part picking
  • Equipment performance machine learning and predictive maintenance
  • OEE Improvements
  • Cycle Time Improvements
  • Research and benchmark of new / existing smart factory ML solutions measures at other Magna plants or suppliers
  • Identify how technical solutions apply to operational and business needs
  • Understand and use computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architectures
  • Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique
  • Develop and manage cloud‑based computing and data management
  • Understand and work within KPIs, metrics, and other monitoring tools to monitor the operational performance of our factories
  • Develop end‑to‑end UI’s and report out to divisional and Magna group level leadership on smart factory solutions initiatives, explaining technical concepts and analysis implications clearly to a wide audience
  • Collaborate closely with IT, operations and engineering to reach operational excellence
  • Manage suppliers and vendors and develop/control project deliverables
  • Collate vendors – excellent verbal and written communication skills are required
  • Collaborate other Machine learning Engineers within Magna as well as with your Regional Smart Factory Solutions lead
  • Support colleagues in sourcing equipment and technology that improves the division’s smart factory solutions performance

• University Degree in Computer Science, or related field of study which includes AI and Machine Learning
• Minimum 3 years related work experience in with minimum 2 years in an Engineering Role.
• Experience within the field of manufacturing
• Proven capability and a sound understanding of engineering principles as applied to the following areas:
  • Machine Learning and AI
  • Advanced capability in multiple computer programming languages
  • Strong experience with relational databases

• Exceptional organizational, leadership, interpersonal and problem solving skills.
• Excellent written, verbal communication and presentation skills
• Proficient with Microsoft Office (Excel, Word, PowerPoint, MS Project and Outlook).
• Excellent mathematical, analytical and organizational skills
• Advanced capability in multiple computer programming languages, i.e. TypeScript, Rust, Python, C++ and/or Java
• Machine Learning and AI modelling
• Experience with the MQTT protocol
• Solid understanding of IT and OT networks i.e. EthernetIP, ProfiNet, IO Link
• Strong experience with relational databases, i.e. SQL Server, MySQL and Oracle. NoSQL databases experience is a plus.
• In‑depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
• Knowledge of common manufacturing systems (ERP, MES, QMS)
• Familiarity with BI technologies, i.e. Grafana, Microsoft Power BI, AWS Quicksight, Qlikview
• Prioritise multiple deadlines and tasks.
• Results oriented

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal‑opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Regular / Permanent

Cosma International