Computer Vision Engineer

ELEKS Data Science Office is looking for Computer Vision Engineer in Germany.

ABOUT PROJECT

Our client is a pioneering force in the waste management industry seeking a Computer Vision Engineer to develop cutting-edge ML solutions. The project focuses on solving complex image processing challenges in waste sorting and classification, offering an opportunity to build scalable applications with direct environmental impact.

REQUIREMENTS

• Strong proficiency in Python
• Practical experience with image segmentation, object detection, and image classification
• Solid knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with Computer Vision tools and libraries
• Experience working with REST APIs
• Comfortable with model deployment and performance optimization
• Based in Germany and open to working fully onsite (5 days/week)

RESPONSIBILITIES

• Design, build, and deploy Computer Vision models for real-time object detection and image segmentation tasks
• Collaborate with ML engineers, software developers, and product teams to deliver production-ready solutions
• Work with large-scale datasets, improve model accuracy, and optimize performance
• Develop and integrate RESTful APIs for ML model interaction
• Ensure maintainability and scalability of ML pipelines using ML Ops tools

WHAT YOU WILL GET WITH ELEKS

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Ability to influence project technologies
• Team of professionals
• Dynamic environment with low level of bureaucracy

ABOUT ELEKS

ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991.

Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.