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Remote Machine Learning Engineer (Computer Vision) - Sport domain

at Opinov8

Posted 6 hours ago 1 applied

Description:

  • Our client is an innovative leader in professional sports entertainment in Germany, focused on delivering high-energy competitions and enhancing fan engagement.
  • We are seeking a skilled Machine Learning Engineer specializing in Computer Vision to develop AI-powered solutions for analyzing football drills from video footage.
  • You will work with deep learning models, computer vision techniques, and cloud-based ML deployment to extract real-world insights from sports videos.
  • In this role, you will design, develop, and optimize a Computer Vision part of the solution for analyzing football drills in video footage.
  • You will post-process model outputs using mathematical methods to derive real-world metrics such as distance, speed, and acceleration.
  • You will train and fine-tune deep learning models and preprocess and augment video data using OpenCV and related libraries.
  • You will collaborate with cross-functional teams to integrate models into a production environment.

Requirements:

  • Strong experience in Computer Vision, including object detection, segmentation, tracking, keypoint/pose estimation, action recognition, and depth estimation is required.
  • Proficiency in Python and deep learning frameworks such as PyTorch is necessary.
  • Hands-on experience with YOLO and Transformer-based architectures for vision tasks is essential.
  • Expertise in image and video processing using OpenCV is required.
  • Experience with cloud ML deployment, preferably using AWS SageMaker, is necessary.
  • A strong understanding of model training, evaluation, and optimization is required.
  • Strong problem-solving skills and the ability to work independently are essential.

Benefits:

  • You can work from wherever you are, as we hire and collaborate with professionals worldwide, promoting a digital-first approach.
  • We offer a remote work model that allows you to balance your professional and personal life with flexible working conditions.
  • Enjoy twenty vacation days, long and short-term sick leave, and five extra personal days to manage your time as you see fit with our flexible time-off policy.
  • You will dive into impactful projects across various industries that challenge and spark your creativity, allowing you to work on innovative solutions.
  • We foster continuous learning and development opportunities that allow you to grow and reach new heights in your career.
  • Collaborate with a diverse and cross-cultural team of passionate technologists and creative thinkers who inspire and support each other.