Computer Vision Engineer

Job Description

Industry: Technology, Information and Internet
Seniority for this role: Entry level
SEEMS PC, a Greek company focused on IoT solutions development employing Artificial Intelligence techniques, is looking for a highly-motivated Computer Vision Engineer to join its growing team and contribute to the development of cutting-edge Industry 4.0 solutions. Key Responsibilities Design, develop, and implement advanced computer vision algorithms for applications such as object tracking and recognition. Improve models for real-time performance and scalability. Work with large datasets to improve the accuracy of computer vision models. Collaborate with a team of software engineers and data scientists. Testing and validation of algorithms to ensure accuracy and efficiency. Keep up with the latest trends in computer vision, proposing and executing new techniques. Deployment of the models into production environments, ensuring that they meet requirements. Post-deployment monitoring and debugging of models for performance improvement. Identify and troubleshoot issues. Develop and maintain documentation for computer vision projects. Requirements Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Programming skills in languages such as Python. Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Familiarity with developing and implementing computer vision algorithms and models. Understanding of machine learning and deep learning concepts. Familiarity with image processing techniques and tools. Knowledge of software development best practices and version control systems. Understanding of Convolutional Neural Networks (CNNs), GANs. Knowledge of GPU programming and optimization. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Benefits working at SEEMS Working environment which inspires team spirit and cooperation Enthusiastic and open-minded multidisciplinary team State-of-the-art tools, libraries and technologies Cooperation with the greatest R&D organizations and institutions Training opportunities for continuous personal improvement If you strive for innovation and want to work with state-of-the-art technologies join us! Send us your detailed CV, at hr@seems.gr, quoting reference: (RD015). Show more Show less