Lead Computer Vision AI Engineer

We are looking for an experienced and visionary **Lead Computer Vision AI Engineer** to guide and mentor a talented team while driving cutting\-edge projects in the field of computer vision. The ideal candidate will bring extensive expertise in machine learning and computer vision, a track record of delivering impactful solutions, and the leadership skills necessary to align technical efforts with strategic goals.   **Responsibilities** * Define the technical roadmap and provide strategic oversight for designing, training, and evaluating advanced deep learning models, such as object detection, image segmentation, and facial recognition * Lead and guide the implementation and optimization of computer vision algorithms for high\-performance real\-time systems and embedded applications * Oversee the collection, preprocessing, augmentation, and curation of large\-scale datasets, ensuring data pipelines meet project requirements * Drive innovation by staying ahead of trends in computer vision and deep learning and spearhead the adoption of emerging technologies * Collaborate closely across departments, providing leadership in integrating computer vision solutions into scalable products and services * Mentor and guide team members to fine\-tune models for peak efficiency, scalability, and robust real\-world outcomes * Develop and enforce best practices for producing comprehensive documentation detailing models, experiments, and technical workflows   **Requirements** * 5\+ years of hands\-on experience in computer vision or AI\-focused engineering roles * At least 1 year of relevant leadership experience * Expert\-level proficiency in Python and mastery of modern deep learning frameworks (e.g., PyTorch, TensorFlow) * In\-depth experience with industry\-standard libraries, such as OpenCV, and tools like MMDetection and Detectron2 * Comprehensive understanding of machine learning principles and architectures, including but not limited to CNNs, RNNs, and Transformers * Demonstrated expertise in deploying and managing models on cloud platforms (AWS, GCP, Azure), with a strong grasp of advanced MLOps practices * Proficiency in GPU programming, parallel computing (e.g., CUDA), and performance optimization techniques * Exceptional problem\-solving, leadership, communication, and mentorship capabilities, with evidence of successful team collaboration * English level of minimum B2\+ to effectively lead discussions and drive cross\-team alignment   **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn