About the role
Our client, a growing Product SaaS company based in Amsterdam, is looking for an Applied Machine Learning Engineer to develop, deploy, and improve machine-learning models powering recommendations, predictions, and intelligent features across its software products. You'll work at the intersection of Machine Learning, Software Engineering, and Product Development, building practical ML solutions that deliver measurable value to users and operate reliably in production environments.
Responsibilities
•Develop, deploy, and improve machine-learning models powering recommendations, predictions, and intelligent features across its software products
Requirements
•3+ years in Machine Learning Engineering, Applied Machine Learning, Data Science, or a similar role
•Python
•PyTorch or comparable deep-learning frameworks
•scikit-learn
•SQL
•AWS
•Docker / containerisation
•MLflow or similar experiment-tracking tools
•Supervised machine learning and model evaluation
•Experience developing and deploying machine-learning models
•Understanding of production ML workflows
Nice to have
•Recommendation systems
•Personalisation models
•Classification / regression / forecasting
•Feature engineering
•Pandas / NumPy
•XGBoost / LightGBM
•FastAPI
•PostgreSQL
•AWS SageMaker
•Airflow
•Kubernetes
•CI/CD for machine learning
•Model monitoring and drift detection
•A/B testing and experimentation
•Experience building ML features for SaaS or digital products
Conditions
No conditions stated in the posting.
