Machine Learning Engineer (Computer Vision) - Sport domain

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.