Machine Learning & AI Engineer

Finance Business Support Werken bij ABN AMRO Machine Learning & AI Engineer Senior Amsterdam As a Machine Learning & AI Engineer at the Finance & Risk Data Domain, you design and build AI models and applications from proof of concept to production, explain and defend design choices, and coach engineers to maintain and scale AI solutions. Direct solliciteren Neem contact op ✨ AI-Enhanced Machine Learning & AI Engineer Role purpose Design, build, and deploy machine learning and AI solutions that improve products, automate decisions, and generate measurable business impact across data-driven initiatives. Core responsibilities - Develop, train, evaluate, and optimize ML models for production use cases. - Build end-to-end pipelines for data ingestion, feature engineering, model training, and inference. - Deploy and maintain models using MLOps best practices (CI/CD, monitoring, versioning, retraining). - Collaborate with product, engineering, and stakeholders to translate requirements into ML solutions. - Perform model validation, bias and fairness checks, and explainability analysis as needed. - Document experiments, datasets, model assumptions, and operational runbooks. Required skills - Machine learning: supervised/unsupervised learning, model selection, evaluation metrics, and optimization. - Programming: Python and common ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch/TensorFlow). - Data: SQL, data modeling, data quality, and feature engineering. - MLOps: model deployment, monitoring, experiment tracking, and reproducibility. - Cloud & tooling: familiarity with containerization and cloud services used for ML workloads. - Communication: ability to explain technical tradeoffs and results to non-technical audiences. At a glance The Finance and Risk Data Domain is looking for an experienced (8+ years) machine learning engineer for the advanced analytics and AI team. The position...