Join a global technology company that designs and develops advanced consumer electronics used in everyday life. The team focuses on building next-generation video and AI solutions that power connected devices, enhancing safety, usability, and user experience worldwide. As a Senior AI Engineer, you’ll be part of an R&D team working on cutting-edge vision systems, developing and deploying machine learning models that run in real time on edge devices.Key responsibilities Design and implement deep learning models for detection, tracking, and video analytics Build efficient training pipelines using labelled and large-scale unlabelled datasets Optimize models for edge deployment (quantization, pruning, distillation) to ensure real-time performance Write clean, production-quality Python code with tests and maintainable structure Debug and resolve ML issues (e.g., loss calculation, gradient, convergence, or performance bottlenecks) Collaborate with cross-functional hardware/software teams to bring models from research to production Ideal candidate profile 3+ years of experience in computer vision or deep learning engineering Strong hands-on knowledge of PyTorch for computer vision tasks (CNNs, Transformers, representation learning) Experience with model exporting standards (ONNX, TensorRT) and optimization for resource-constrained devices Familiarity with video processing pipelines and large-scale dataset handling Strong Python programming skills with solid software engineering practices (modular code, refactoring, testing, Git) Experience in semi-supervised/transfer learning or active learning for limited labelled datasets Nice to have: C++, embedded/edge AI deployments, distributed training, contributions to research or open-source projects Conditions Work model: hybrid in Gdańsk (3 days per week) Salary: 150 - 250 pln/h (depends on your experience) Employment type: B2B Benefits: medical care, life insurance, trainings, Multisport card Recruitment steps Phone call with Recruiter (20 - 30 min.) Technical interview with Client Feedback and decision