Technical Delivery Lead - Machine Learning
RemoteHungary
Job Summary
Lead engineering squads delivering complex AI-driven systems while contributing directly to architecture, Proof of Concepts, and high-complexity technical challenges. Shape scalable ML pipelines for motion synthesis and trajectory prediction, prototyping cloud-hosted inference services, and stepping into the codebase to unblock delivery. Apply cutting-edge ML techniques, including Transformers, Graph Neural Networks, and Diffusion models, ensuring solutions remain scalable and production-ready. Maintain active engineering presence, dedicating approximately 60% of time to building POCs, solving difficult technical problems, and improving tooling. Evolve engineering standards, delivery practices, and technical governance across the business while collaborating with Machine Learning Engineers, Tech Leads, and Product teams. Work on-site in the Alkmaar office to support critical delivery initiatives and influence technical strategy.
Required Qualifications
- Strong experience in software engineering, technical delivery, or technical leadership
- Experience deploying ML systems into production, including serving, monitoring, and retraining
- Experience leading or mentoring engineering squads
- Hands-on experience building and training deep learning models in PyTorch
- Familiarity with MLOps tooling such as MLflow and CI/CD workflows
- Experience with AWS, Azure, or GCP
- Experience with sequence models (e.g. transformers, RNNs) or generative models (e.g. diffusion, flow, or GANs)
- Experience balancing leadership responsibilities with active development
- Strong stakeholder communication and delivery planning skills
- Willingness to work on-site in our Alkmaar office
Desired Qualifications
- Experience with Unity or game engines
- Interest in football or other team sports
- Experience with spatiotemporal, time-series, or motion/trajectory data
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