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

Job description

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 efficiency Treat modeling as part of software engineering—not a separate activity Requirements 🧠 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 Benefits Work on a live product with real-world impact Build end-to-end ML systems, not just models Operate in an environment that values engineering excellence Have real ownership over systems in production Significant influence on CUJU’s growth, product strategy, and industry-leading innovation. Competitive compensation, remote flexibility, and a vibrant, international working environment. Direct collaboration with top-tier football clubs, industry experts, and an ambitious cross-functional team. Significant influence on CUJU’s growth, product strategy, and industry-leading innovation Short decision-making paths – direct communication, quick decisions, and close collaboration with management Personal development – individual learning opportunities and room to grow beyond yourself Diverse benefits – e.g. 30-day vacation, competitive compensation, corporate benefits, and moree environment, 🎯 Your Impact: You deliver ML systems that are reliable, scalable, and used in production You proactively improve code quality, infrastructure, and system design You take full ownership of systems, including failures and fixes You bring an engineering-first approach to all ML work ⚽️ Is this your next big play? Are you passionate about sports, communicative, and eager to actively shape the future of sports? Then we look forward to your application! Please send us your CV directly via the application link for JOIN. Please acknowledge that we can only accept applications online through our recruiting software due to GDPR. Thank you!