AI/ML Engineer

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for a Computer Vision Engineer to join a project with a global leader in biomedical imaging. The company offers a comprehensive product portfolio for Karyotyping, H&E, IHC, and FISH analysis, providing advanced imaging and analysis tools for Pathology, Cytogenetics, and Research laboratories. This role involves working on cutting-edge solutions that enable high-precision diagnostics and support innovation in scientific research.

Key Requirements:

🔹 5+ years of hands-on experience in algorithm development using Python (must) and C++ (advantage);
🔹 Proven experience in training, fine-tuning, and deploying AI/ML models – Must;
🔹 Experience in Computer Vision (e.g., Shape Analysis) / Image Processing using image processing libraries like OpenCV in C++ – Advantage;
🔹 Strong ability to work independently as well as in a SCRUM team under Agile dynamic environment; proactive and self-driven;
🔹 Methodical, solution-oriented mindset with a strong “can-do” approach;
🔹 MSc or PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Physics, or a related field – Must;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Research and develop advanced algorithms in Machine Learning, Neural Networks, Computer Vision, Image & Signal Processing, to be integrated into ASI products;
🔹 Define software specifications and deliver production-ready code that meets project milestones, while addressing constraints such as computational resources, response time, and memory consumption (GPU and CPU);
🔹 Train, optimize, validate and Integrate AI/ML models for diagnostic and imaging applications using Python and its libraries (PyTorch, NumPy, etc);
🔹 Collaborate closely with cross-functional teams, including R&D, Applications, and Product groups;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;