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Senior Computer Vision Engineer (Remote - EMEA) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior Computer Vision Engineer. in . EMEA. .. As a Senior Computer Vision Engineer, you will play a key role in designing and deploying advanced AI models that drive next-generation video and avatar technologies. Your work will focus on areas such as face emotion recognition and generative video systems, contributing directly to innovative, user-centric products. Collaborating with cross-functional teams, you’ll transform cutting-edge research into production-ready solutions while maintaining technical excellence and scalability. This position offers the opportunity to work on impactful projects that redefine human-AI interaction and video innovation within a dynamic and forward-thinking environment.. . Accountabilities:. Research and design advanced computer vision and video generation algorithms based on the latest academic findings.. Develop, train, and fine-tune neural network models such as GANs, Diffusion Models, Transformers, and NeRFs to achieve high-quality results.. Define key performance metrics and run rigorous experiments to evaluate and optimize model accuracy and efficiency.. Source, manage, and preprocess large-scale datasets for training and validation purposes.. Write clean, scalable, and production-ready code, collaborating with engineers to integrate AI models into live systems.. Document architectures, results, and implementation details clearly, ensuring knowledge transfer across the technical team.. Act as a thought leader by staying current with industry advancements and recommending emerging technologies.. . Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.. Minimum 4 years of professional experience in machine learning or deep learning.. Strong proficiency in . Python. and ML frameworks such as . PyTorch. or . TensorFlow. .. Proven expertise in . computer vision. and . generative models. (GANs, VAEs, Diffusion Models).. Solid understanding of model training, evaluation, and deployment pipelines.. Experience with . cloud platforms. (AWS, GCP, or Azure) and . containerization tools. (Docker, Kubernetes).. Excellent analytical, problem-solving, and collaboration skills with a passion for continuous learning.. . Company Location: Spain.