AI Engineer Intern

Location: Kartal, Istanbul

Department: AI Team / R&D

Internship Type: Long-term / seasonal (flexible)

About Trio Mobil

Trio Mobil is a technology company dedicated to preventing accidents and improving efficiency in industrial operations with the mission of helping every employee return home safely. As a pioneer in AI and IoT-based Industrial Safety Solutions, Trio Mobil delivers innovative technologies for real-time risk detection and proactive safety management, enabling safer and smarter workplaces.

With 1,000,000+ connected devices, we serve 20,000 customers providing turn-key solutions to multinational brands in 65 countries across 5 continents. Headquartered in the United States, Trio Mobil operates globally across Europe, MEA, and APAC, supported by branch offices, distributors, and comprehensive after-sales assistance.

Our team of 250+ professionals, including 60+ in R&D, ensures all intellectual property is developed and produced in-house, delivering innovation and reliability worldwide.

What will you do in this role?

Within the AI Model team, you may start by working with image/video data and contribute to data preparation and labeling processes. Over time, you can support model development efforts in computer vision areas such as object detection, tracking, or similar problems. Depending on your interests, you may also contribute to topics like basic optimization and output monitoring for solutions running on edge devices, or experiment/output management and improving the structure of workflows on the cloud side. In short, you will be part of a collaborative environment that touches real production problems, takes responsibility through learning, and grows together..

What we expect from you

• Studying in a relevant university department (Computer Science, Software Engineering, Electrical/Electronics Engineering, Industrial Engineering, Mathematics/Statistics, etc.)

• Comfortable working with Python (basic OOP, notebook/script workflows)

• Fundamental ML/CV knowledge (familiarity with concepts such as model training, datasets, overfitting, augmentation)

• Interested in Git and Linux environments

• Strong communication skills, eager to learn, and motivated to “experiment and derive insights”

Nice To Have (Not required)

• PyTorch / TensorFlow, OpenCV

• Basic experience with detection models

• ONNX / TensorRT, Docker

• AWS / S3 / basic service knowledge

What we offer

• Mentorship and learning on real production problems

• End-to-end AI product development experience across Edge + Cloud

• Impact on industrial safety systems operating globally in the field

• Opportunity to be considered for part-time continuation / full-time roles based on strong performance