Offer summary

Qualifications:

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., Experience with cloud ML deployment, preferably using AWS SageMaker..

Key responsibilities:

Design, develop, and optimize computer vision solutions for analyzing football drills in videos.

Post-process model outputs to derive real-world metrics like distance and speed.

Train and fine-tune deep learning models for sports video analysis.

Collaborate with cross-functional teams to integrate models into production environments.

Job description

PROJECT DESCRIPTION:

Our client is an innovative leader in professional sports entertainment in Germany, focused on delivering highenergy 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 AIpowered solutions for analyzing football drills from video footage. You will work with deep learning models, computer vision techniques, and cloudbased ML deployment to extract realworld 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;
Postprocess model outputs using mathematical methods to derive realworld metrics (distance, speed, acceleration, etc.);
Train and finetune deep learning models;
Preprocess and augment video data using OpenCV and related libraries;
Collaborate with crossfunctional teams to integrate models into a production environment.

IF YOU HAVE:

Strong experience in Computer Vision, including object detection, segmentation, tracking, keypointpose estimation, action recognition, and depth estimation;
Proficiency in Python and deep learning frameworks such as PyTorch;
Handson experience with YOLO and Transformerbased 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 problemsolving 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 (AndroidiOS).

AS AN OPINOV8R, YOU WILL HAVE:

DigitalFirst 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 TimeOff Policy: Enjoy twenty vacation days, long and shortterm 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 сrosscultural 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 — heres what to expect:

Initial Interview: If your background fits the roles criteria, well 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 assessmenttest tasks to showcase your expertise;
Final Decision: After completing all interviews and assessments, well reach a final decision and get back to you with the result.