Machine Learning Engineer

Machine Learning Engineer     Sports Analytics

This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining us, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.

Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you.

Responsibilities

• Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems.
• Integrate ML systems into existing infrastructure, leveraging cloud services (preferably GCP), Docker, and Kubernetes.
• Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow.
• Follow Agile methodologies, ensuring best practices in software development and CI/CD pipelines.

• Proven experience in machine and deep learning development.
• Familiarity with cloud computing, data pipelines, and distributed ML technologies.
• Strong programming skills in Python, and experience with ML frameworks.
• Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins).
• Desired: Experience with data warehousing and ETL/ELT processes.
• Desired: Knowledge of working with sensor and tracking data analysis.