**ML Platform Engineer:** For one of our globally leading tech clients we are urgently looking for an experienced ML Platform Engineer for a long contract based in Amsterdam. Its paying well and my client can interview asap! **Key Responsibilities:** - Develop and maintain ML pipelines for training, validation, deployment, and monitoring - Support scalable ML solutions for recommendations, forecasting, and automation use cases - Build production-ready ML systems using Airflow, Azure ML, and FastAPI - Automate model deployment using CI/CD tools such as GitHub Actions and Azure DevOps - Improve reliability, observability, and performance of the ML platform - Collaborate with data scientists to productionize research models into scalable services - Implement monitoring, alerting, and model drift detection using New Relic, Azure Monitor, and custom logging - Manage and enhance infrastructure using Terraform, Docker, and AWS Fargate **Essential Skills & Experience:** - Proven experience in ML Engineering, DevOps, or Data Engineering with ML lifecycle exposure - Hands-on experience building and maintaining ML workflows and pipelines - Strong Python programming skills - Experience with ML frameworks and tools such as MLflow, Scikit-learn, or PyTorch - Familiarity with cloud platforms (Azure and/or AWS) - Solid understanding of containerization (Docker) and orchestration (Kubernetes) - Experience with CI/CD pipelines (GitHub Actions, Azure DevOps) - Infrastructure-as-Code experience using Terraform - Strong communication skills and collaborative mindset **Competencies:** - Digital: Python - Digital: AWS Cloud Computing - Digital: Machine Learning - Digital: DevOps - Digital: Docker - Digital: Snowflake - Digital: Terraform If this is you, then please do not delay in applying!