Part Time Working Student (AI/ML & Data Science Engineer)

For our Smart Infrastructure, we are looking for Part Time Working Students (AI/ML & Data Science Engineer) in our Gebze EP Factory.

What will you do?

We are looking for a passionate AI/ML & Data Science Intern to join our Manufacturing Engineer team. This role offers an exciting opportunity to work on real-world Artificial Intelligence, Machine Learning and Data Analytics projects supporting Manufacturing operations.

As a member of our team, you will collaborate with experienced engineers and contribute to developing AI-powered solutions that improve operational efficiency and business decision-making.

• Contribute to the development of Industrial AI services, including data pipelines, model serving, and reusable software components that enable scalable AI adoption across manufacturing, energy, and industrial systems.
• Work with real-world industrial data to develop AI solutions for predictive maintenance, anomaly detection, process optimization, quality improvement, and autonomous operational insights.
• Collaborate with cross-functional teams to integrate AI solutions into production environments, ensuring reliability, scalability, maintainability, and alignment with business processes.
• Explore, prototype, and validate next-generation AI applications, including Agentic AI, intelligent automation, robotics-enabled solutions, and AI copilots that transform insights into autonomous actions.
• Assist in evaluating emerging AI technologies and contribute to proof-of-concept projects that accelerate digital transformation initiatives.
• Document AI solutions, experiments, and best practices while sharing knowledge across the organization.
  
  

What do I need to qualify for this job?

• 3rd or 4th year undergraduate student or master student in faculty of
  
  

Computer Engineering / Software Engineering / Artificial Intelligence Engineering

Data Science / Mathematics or related disciplines

• Able to work 3 days/week in Gebze during winter time, 4-5 days/week during summer time.
• Very good command of written and spoken English.
• Strong interest in Artificial Intelligence and Machine Learning.
• Good analytical thinking and problem-solving skills.
• Flexible and good team player.
• Result orientation with strong analytical thinking.
• Open minded and highly collaborative.
  
  

Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.

“At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality.

As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.

Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.

We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.

Please find more information from our web site:

https://new.siemens.com/tr/tr.html