Manufacturing AI Trainee

About the role

Ericsson Estonia's supply site in Tallinn is offering a full-time traineeship (40 hours per week, Monday to Friday) for students in the 2027 winter/spring period (01.02.2027–31.05.2027). As a Manufacturing AI Trainee you will support AI-driven initiatives in the manufacturing environment, developing and testing computer-vision, automation and smart-factory solutions together with production, industrial engineering and automation specialists. You will also have the chance to develop a small-scale Manufacturing AI pilot.

Key responsibilities

• Support the implementation of AI-driven solutions in manufacturing operations
• Help develop, test and improve computer-vision and automation applications
• Take part in smart-factory pilots, from defining objectives to building a small-scale pilot solution
• Analyze manufacturing processes and identify AI use cases and improvement opportunities
• Collaborate with production, engineering, industrial engineering and automation teams
• Document pilot objectives, tests, results and lessons learned, and share findings as agreed
• Communicate risks, blockers and decisions needed to the manager and keep work documentation up to date
• Follow occupational safety, information security, confidentiality, quality and ESD requirements

Required profile

• Currently studying at a vocational school or university
• Available for a full-time traineeship from 1 February 2027 to 31 May 2027
• Aged 18 by 1 February 2027
• Valid working rights in Estonia until at least 31 May 2027
• Student of AI, information technology, automation, robotics, industrial engineering or a related field
• Good English, spoken and written; Estonian or Russian is an advantage

Required skills

• Programming, computer vision, machine learning, robotics, automation or technical-project experience is a plus but not required
• Analytical, practical problem-solving and good collaboration skills

To apply, upload an English CV and complete screening questions; candidates who pass go to a short virtual interview. Applications are reviewed on a rolling basis and the deadline is 6 November 2027.