Python Software Engineer - Machine Learning Systems (m/f/d)

Location: Hybrid/ Remote (Germany-based)

Start: ASAP | Languages: Fluent English

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.

🚀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 efficiency
• Treat modeling as part of software engineering—not a separate activity

🧠 What You Bring:

We’re looking for engineers with 4+ years of experience in software engineering, including hands-on experience building, deploying, and operating ML systems in production. Experience limited to research or notebook-based work is unfortunately not sufficient for this role.

• Strong programming skills in Python (clean architecture, testing, modular design not just scripts).
• Proven experience building and operating systems on AWS (preferred) or strong experience with a comparable cloud platform
• Experience with Ray (or similar distributed compute frameworks) is a strong plus. We actively use Ray in production for distributed workloads and model serving.
• Experience with:
• Git (collaborative workflows, code reviews)
• CI/CD pipelines (GitHub Actions, GitLab CI, etc.)
• Testing (unit + integration — not optional)
• Experience with Docker (Kubernetes or similar is a strong plus)
• Hands-on experience with production infrastructure (CI/CD, monitoring, logging, deployments)

Nice to Have:

• Experience with computer vision
• Experience training and evaluating ML models
• Familiarity with MLOps tooling
• Experience optimizing models for latency, scale, and cost