Description:

Our client is an innovative leader in professional sports entertainment in Germany, focused on delivering high-energy competitions and enhancing fan engagement.
The organization is committed to creativity and collaboration, 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 the 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.

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 a flexible time-off policy that includes twenty vacation days, long and short-term sick leave, and five extra personal days.
You will have the opportunity to dive into impactful projects across various industries that challenge and spark your creativity.
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.