# Team Architect (Machine Learning Focus)
Join Beyond Sports as a Team Architect with a focus on Machine Learning. You'll act as a specialist technical authority, helping shape the architecture, technical direction, and implementation strategy behind ML-driven products and platforms.
## What You'll Do
- Act as technical authority within your discipline, guiding ML architecture and implementation strategy
- Work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects
- Design intelligent systems that transform live sports data into immersive digital experiences
- Evaluate approaches for scalable inference pipelines and motion synthesis systems
- Build Proof of Concepts and review model deployment strategies
- Help squads solve complex architecture and integration challenges
- Guide technical implementation across trajectory prediction, motion synthesis, real-time data processing, and cloud-hosted ML services
- Ensure solutions are scalable, reusable, maintainable, and aligned with engineering standards
## What We're Looking For
- Strong experience in machine learning engineering, software architecture, or technical leadership
- Deep expertise in ML systems, data pipelines, backend engineering, or cloud infrastructure
- Experience deploying ML models into production environments
- Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring
- Experience with AWS, Azure, or GCP
- Hands-on experience with PyTorch
- Strong understanding of scalable APIs, cloud-native systems, and modern engineering practices
- Experience creating Proof of Concepts and evaluating technical approaches
- Ability to communicate technical solutions clearly to technical and non-technical audiences
- Experience collaborating across multidisciplinary engineering teams
- Willingness to work on-site in Alkmaar office
## Why Join
- High impact work shaping how millions experience sports globally
- Technical ownership over implementation strategy and architecture
- Hands-on innovation building POCs and defining the future of ML systems
- Constant learning across machine learning research and real-time 3D systems
- Real collaboration between engineers, artists, ML specialists, and product teams
- 25 days paid leave, pension program, lunch included, gym card, Sony Benefits, and more