SeeChange D.O.O. associated Company to the SeeChange Technologies LTD, UK, is hiring for its Belgrade office

Machine Learning Engineer

About SeeChange

At SeeChange Technologies, everything starts with people. Our journey in computer vision is guided not by machines, but by the knowledge, creativity and experience of our team. It’s human curiosity, intuition, and care that shape solutions powerful enough to transform the future of retail for everyone. We are at the forefront of innovation, leveraging AI to create transformative solutions that deliver positive impacts for both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. Our platform is powered by a unique engine that adapts to seasonality, traffic flow, and store conditions in real time. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands. Backed by leading investors, with 15+ patents and development hubs in the UK and Serbia led by industry experts, we are recognized as an Innovator in Computer Vision Applications (Gartner, 2025) and reliable partner of international brands.

About the role

We are looking for an experienced Computer Vision Engineer to join our Serbian team of leading professionals who are developing AI-backed platform that tracks and analyses shopping patterns from the store entry, throughout the entire shopping process all the way to self-checkout payment and exit. Artificial intelligence is just one component of this innovative solution, and a significant amount of additional system logic is also required. In this role, you will collaborate with colleagues in Belgrade and Manchester on integration of developed algorithms and implementation of the new AI models into existing solutions. Being constantly challenged with new ideas, you will be expected to proactively suggest improvements that will benefit both the system and the overall process, while your core duties will be focused on:

• Developing algorithms for detecting specific customer actions.
• Recognizing suspicious customer behavior (behavior analysis).
• Solving and improving existing algorithms for product tracking, motion, and movement analysis.
• Accelerating existing parts of the system.
• Improving system accuracy by integrating new models and algorithms for human action analysis.

What will make you a good fit?

To successfully perform and grow in this role, we expect prospective candidates to have:

• A solid understanding of detectionand feature extraction
• Excellent knowledge of Python.
• Strong understanding and experience with libraries such as OpenCV, NumPy, and PyTorch.
• Strong understanding of computer vision algorithms such as tracking, optical flow, and feature matching.
• Basic knowledge of Docker.
• Experience with OpenVINOor TensorRT.
• Experience with vector databasesor similar structures for the fast feature search.
• Professional curiosity and self-motivation to follow new trends in the field where standards and technologies evolve very quickly.

Why Join Us?

• Be part of a team with a global industry impact.

• Enjoy work-life balance and culture of mutual respect and trust.
• Full-time agreement with a competitive salary and benefit package.
• Opportunities for continuous learning and professional growth.

If you see yourself fit and professionally growing with a dynamic and hyper-innovative international tech team, send us your application and CV now. After careful consideration of applications, we will get in touch with the shortlisted candidates.

SeeChange D.O.O and SeeChange Technologies LTD are committed to protecting personal information privacy and security as described in this Privacy Statement. Having affiliated companies and business partners in several countries, in some rare cases we may transfer data we collect, using appropriate and lawful protection methods. By applying for this position, you confirm that you agree that the personal data you gave can be collected, used and processed for the purposes of applicant selection in the recruitment process.