You will be contributing to the design, development, and deployment of cutting-edge Machine Learning systems with a focus on recommendations, personalisation, and reinforcement learning. The environment is modern, high-scale, and requires deep experience in designing robust, low-latency, production-grade ML systems.ResponsibilitiesBuild and deploy production-grade ML solutions with strong performance, reliability, scalability, and cost-efficiency.Apply deep expertise in ML algorithms, deep learning, and distributed computing to design high-performing platforms.Drive rapid experimentation and apply strong product-development principles in an agile, cross-functional team environment.Architect and optimise cloud-based ML infrastructure (Azure/GCP) for training, deployment, and monitoring.Implement and improve large-scale data pipelines using Spark, Beam, Kafka, and similar technologies.Lead best practices in model lifecycle management, observability, and MLOps.Stay up to date with ML research and contribute to internal knowledge-sharing communities.Leverage expertise in recommendation systems and large datasets to deliver high business value.Key Requirements5+ years hands-on experience building and deploying production ML systems.Strong understanding of ML fundamentals and deep learning.Proficiency with Vertex AI, GCP, Hugging Face, transformers, PyTorch, scikit-learn, Airflow, GitHub, vector search, and knowledge graph technologies.Strong programming skills in Python, Go, or Rust + excellent SQL.Proven success delivering models end-to-end into production.Bonus: experience with recommendation systems, reinforcement learning, or learning-to-rank.DetailsStart: AsapDuration: 6 months (possibility to extend)Location: Amsterdam, Hybrid Let op: vacaturefraudeHelaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:* Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).* Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website. Important: job fraud Unfortunately, job fraud is becoming more common. Beware of such scams:* We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.* If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.