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Machine Learning Engineer
Job Description & How to Apply Below
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group
Summary:
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.
Job Responsibilities:
POSITION SUMMARY:
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.
MINIMUM
JOB REQUIREMENTS:
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 with ing the field of manufacturing
Proven capability and a sound understanding of engineering principles as applied to the following areas:
Machine Learning and AIAdvanced capability in multiple computer programming languages
Strong experience with relational databases
SKILLS AND
COMPETENCIES:
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. Type Script, 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. Ethernet
IP, Profi Net, IO Link Strong experience with relational databases, i.e. SQL Server, MySQL and Oracle. No
SQL databases experience is a 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 Prioritize multiple deadlines and tasks.
Results oriented
JOB RESPONSIBILITIES:
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 Understands and uses computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architectures. Uses exceptional mathematical skills, to perform computations and work with the algorithms involved in AI and Machine learning.
Build algorithms based on statistical modelling procedures and build 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…
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