Machine Learning Engineer (Computer Vision) - Sport domain
Компания: Opinov8
Город , ua,
Зарплата:
Размещено: 2025-05-15 17:03:21
Описание
PROJECT DESCRIPTION: Our client is an innovative leader in professional sports entertainment in Germany, focused on delivering high-energy competitions and enhancing fan engagement.
With a commitment to creativity and collaboration, the organization is redefining the sports experience while providing a platform for talented athletes to showcase their skills.
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; - Post-process model outputs using mathematical methods to derive real-world metrics (distance, speed, acceleration, etc.); - Train and fine-tune deep learning models; - Preprocess and augment video data using OpenCV and related libraries; - Collaborate with cross-functional teams to integrate models into a production environment. IF YOU HAVE: - Strong experience in Computer Vision, including object detection, segmentation, tracking, keypoint/pose estimation, action recognition, and depth estimation; - Proficiency in Python and deep learning frameworks such as PyTorch; - Hands-on experience with YOLO and Transformer-based architectures for vision tasks; - Expertise in image and video processing using OpenCV; - Experience with cloud ML deployment, preferably using AWS SageMaker; - Strong understanding of model training, evaluation, and optimization; - Strong problem-solving skills and ability to work independently. NICE TO HAVE: - Experience applying machine learning to biomechanics, physical exercise analytics, and human motion analysis; - Knowledge of AWS infrastructure and MLOps best practices; - Experience deploying edge AI models on mobile platforms (Android/iOS). AS AN OPINOV8R, YOU WILL HAVE: - Digital-First Approach: Great talent knows no borders!
You can work from wherever you are.
We hire and collaborate with professionals worldwide; - Remote Work Model: Balance your professional and personal life with our flexible working conditions.
We offer an equal and transparent working environment, empowering you to be productive and deliver your best from anywhere; - Flexible Time-Off Policy: Enjoy twenty vacation days, long and short-term sick leave, and five extra personal days to take care of important personal matters, allowing you to manage your time as you see fit; - Exciting Projects: Dive into impactful projects across various industries that challenge and spark your creativity.
Work on innovative solutions that push boundaries, giving you the chance to make a difference and drive change; - Boost Your Expertise: Elevate your career with unmatched experiences that expand your knowledge and master skills.
We foster continuous learning and development opportunities that allow you to grow and reach new heights; - Join the Best Team Ever: Collaborate with our diverse and сross-cultural team of passionate technologists and creative thinkers who inspire and support.
Together, we develop services that make a real impact on the world.
HOW’S THE HIRING PROCESS GOING: We strive to make a smooth and transparent hiring process to find the perfect match for both sides.
Steps may differ depending on the position — here's what to expect: - Initial Interview: If your background fits the role's criteria, we'll invite you for an interview with a Talent Acquisition Specialist to get to know you better; - Technical Interview: Depending on the role, you may be asked to complete a technical assessment/test tasks to showcase your expertise; - Final Decision: After completing all interviews and assessments, we'll reach a final decision and get back to you with the result.
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