Job Description & How to Apply Below
Your work will directly contribute to smarter decision-making, reduced downtime and improving quality.
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.
Understand and use computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architectures.
Use 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 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 factories.
Develop front-end UI components; report to leadership on smart factory solutions initiatives, explaining technical concepts clearly to a wide audience.
Collaborate with IT, operations and engineering to reach operational excellence.
Manage suppliers and vendors and develop/control project deliverables; excellent verbal and written communication skills required.
Collaborate with other Machine Learning Engineers within Magna and with Regional Smart Factory Solutions lead; support colleagues in sourcing equipment and technology that improves division performance.
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 with at least 2 years in an engineering role.
Experience with in the field of manufacturing; proven capability and understanding of engineering principles applied to the following areas:
Machine Learning and AI.
Advanced capability in multiple programming languages; strong experience with relational databases.
No
SQL experience is a plus.
In-depth understanding of database management systems, OLAP and ETL frameworks; knowledge of ERP/MES/QMS.
Familiarity with BI technologies (Grafana, Power BI, AWS Quicksight, Qlikview).
Ability to prioritize multiple deadlines and tasks; results oriented.
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).
Mathematical, analytical and organizational skills; strong programming skills in Type Script, Rust, Python, C++, and/or Java.
Experience with MQTT protocol; understanding of IT and OT networks (Ethernet/IP, Profi Net, IO-Link).
Experience with relational databases (SQL Server, MySQL, Oracle);
No
SQL databases a plus.
Understanding of data structures, algorithms and AI/ML model development.
Familiarity with manufacturing systems (ERP, MES, QMS) and BI tools.
Ability to manage multiple deadlines and deliverables; results oriented.
Égalité des chances et protection des données Sensibilisation, Union, Autonomie:
Chez Magna, nous sommes convaincus qu’une main-d’œuvre diversifiée est essentielle à notre succès. C’est…
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