Machine Learning Engineer, Predictive Maintenance
MaintainXFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
You can expect a flexible work schedule, extra vacation days upon joining, and a comprehensive compensation package including cafeteria benefits, fuel support, bonus, discount card, and more.
This information is not specified in the job description.
Candidates need a relevant degree (e.g., chemical, materials, or mechanical engineering), at least 3 years of experience in powder coating or similar roles in a manufacturing environment, experience with powder coating equipment maintenance, knowledge of maintenance techniques (preventive, predictive, corrective), failure analysis skills, active confident English proficiency, and strong collaboration with a solution-focused mindset.
The role involves working in an innovative manufacturing environment with technical challenges, supporting production efficiency, collaborating with machine manufacturers and service partners, and participating in development projects.
Highlight your relevant engineering degree, 3+ years in powder coating or manufacturing maintenance, hands-on experience with equipment and failure analysis, English skills, and teamwork with a problem-solving focus; bonus for electrostatic powder coating, industrial robots (KUKA, FANUC, ABB), layer thickness measurement, air handling systems, pumps, wastewater treatment, or ATEX/Ex environments.