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Computer Vision Engineer (Senior) at Huawei Telekomünikasyon Dış Ticaret Ltd. About the Role. We are an Applied AI team bridging the gap between cutting-edge research and production systems. We are looking for an engineer who excels in . AI model design, optimization, and real-world deployment. .. In this role, you will architect solutions for complex visual understanding tasks. Your work will span . robust object detection, instance segmentation, multi-object tracking, and multimodal reasoning with VLMs. . Leveraging both classical computer vision and modern deep learning, you will own the full lifecycle of the model—from mathematical formulation to high-performance implementation in Python and C++.. Who We Are Looking For. We are primarily targeting . Senior level. engineers. However, we are open to exceptional . Mid candidates. who possess a strong track record of relevant job experience or significant academic research.. Key Qualifications. Education:. M.S. or Ph.D. in Computer Vision, Machine Learning, or a related area.. Experience:. 5+ years of hands-on experience developing and deploying CV/ML models.. Technical Stack:. Advanced proficiency in . Python. and . C++. .. Strong experience with deep learning frameworks (. PyTorch. or . TensorFlow. ).. Proficiency in debugging, profiling, and optimizing high-performance AI systems.. We prioritize strong theoretical knowledge of deep learning and mathematical foundations over mere framework familiarity.. Domain Expertise:. Deep understanding of . object detection, segmentation, and object tracking. .. Familiarity with . generative models. (GANs, Diffusion models) and multimodal architectures.. Foundational Knowledge:. Strong grasp of linear algebra, probability, optimization, and numerical methods.. Bonus Qualifications. Experience deploying models on . edge devices. or embedded systems.. Knowledge of secure and privacy-aware AI practices.. Hands-on experience with MLOps, CI/CD, and automated training pipelines.. A track record of academic publications (CVPR, ICCV, ECCV, etc.) or significant open-source contributions.. Why Join Us?. Real-World Impact. : Work on applied research that directly enhances safety and efficiency in the physical world.. Collaborative Culture. : Solve hard problems alongside a high-caliber, interdisciplinary team of engineers and researchers.. Academic & Global Growth. : We actively endorse academic publications and offer opportunities to work on global projects.. Continuous Learning. : We invest in your growth with sponsored access to premium online learning platforms (MOOCs) and internal technical workshops.. Compensation. : We offer a competitive salary package along with a comprehensive set of side benefits.. Company Location: Turkey.