Magna
Automotive
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Engineer at Magna. Skills: Machine Learning, Artificial Intelligence, Data Engineering, Smart Factory. Design machine learning models. Develop machine learning models”
What You'll Achieve.
Enhance product quality; Optimize supply chain logistics; Improve predictive maintenance; Support intelligent manufacturing; Make smarter decisions; Reduce downtime; Improve quality
Industry & Context.
Problem solving skills; Analytical skills; Root cause analysis
What They're Looking For.
Must Have
University Degree in Computer Science, Minimum 3 years related work experience, Minimum 2 years in an Engineering Role, Experience in manufacturing, Machine Learning and AI understanding, Advanced capability in programming languages, Experience with relational databases
Nice to Have
NoSQL databases experience is a plus
What You'll Do.
Design machine learning models
Develop machine learning models
Deploy machine learning models
Enhance product quality
Optimize supply chain logistics
Improve predictive maintenance
Support intelligent manufacturing
Leverage large-scale data
Build scalable ML solutions
Make smarter decisions
Execute ML / AI projects
Research smart factory ML solutions
Identify technical solutions
Understand computer science fundamentals
Use mathematical skills
Work with AI algorithms
Maintain ML solutions
Analyze complex datasets
Decide on appropriate technique
Develop cloud computing
Manage cloud computing
Develop data management
Manage data management
Monitor operational performance
Develop from-end UI’s
Report on smart factory solutions
Explain technical concepts
Collaborate with operations
Collaborate with engineering
Develop project deliverables
Control project deliverables
Collaborate with ML Engineers
Collaborate with Regional Leads
How You'll Work.
Team & Collaboration
Cross-functional teams; Global team; Divisional leadership; Magna group leadership; Regional Smart Factory Solutions lead
Communication Scope
Written communication; Verbal communication; Presentation skills; Technical concepts; Analysis implications
Process & Methodology
Project deliverables
Full Job Description
**Job descriptions may display in multiple languages based on your language selection.** ## **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 withing the field of manufacturing * Proven capability and a sound understanding of engineering principles as applied to t
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