Location: Hybrid/ Remote (Germany-based) Start: ASAP | Languages: Fluent English Note that we cannot provide any visa or relocation support.
Make the Unseen seen! Our goal is to reinvent scouting in football and build the #1 global scouting platform for identifying and developing talent.
With the help of modern AI technology, CUJU enables every young football talent to be seen – regardless of origin, gender, or social background.
We create fair opportunities and transparent pathways into professional sports.
Our platform connects athletes, clubs, and organizations worldwide to rethink scouting – data-driven, objective, and mobile.
Together, we are shaping the next generation of global talent scouting.
🌟 Your Mission: As a Python Software Engineer – Machine Learning Systems at CUJU, you will help us build, scale, and maintain production-grade ML systems.
This is not a research role.
We already have a live product and real users.
Our focus is on reliable, scalable, and maintainable ML systems that deliver value in production.
If you prefer working in notebooks over building and operating production systems, this role is not a fit.
You’ll work across the full ML lifecycle from integrating models into products to improving pipelines, infrastructure, and system performance.
We expect you to treat models as software components, not experiments.
Tasks 🚀What You’ll Work On: Design, build, and maintain production ML systems and pipelines Write clean, testable, and maintainable Python code Deploy and operate models in production (APIs, batch jobs, real-time systems) Work hands-on with AWS infrastructure to build scalable systems Use distributed systems (Ray) for large-scale workloads and model serving Containerize and deploy services using Docker (Kubernetes is a plus) Improve and maintain CI/CD pipelines for ML workflows Ensure robust testing, monitoring, and reliability of ML systems Contribute to improving system architecture, performance, scalability and cost efficienc.