Computer Vision Engineer (Germany), TSCM-40247

AI overview

Develop innovative ML solutions for the waste management industry by tackling complex image processing challenges for effective waste sorting and classification.
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
  • ELEKS, also known as ELEKS Software, is an international company that provides custom software engineering and consulting services, headquartered in Tallinn, Estonia.

    View all jobs
    Ace your job interview

    Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

    Computer Vision Engineer Q&A's
    Report this job

    This job is no longer available