MLOps-engineer voor uniek team!
Core
Building robust, scalable, and secure data-driven modeling infrastructure for weather forecasting, water management, and climate adaptation by bridging research and operations.
Role type
MLOps Engineer (Research-to-Operations)
Builds
Production-ready AI/ML pipelines and infrastructure for next-generation weather, climate, and water models.
Domain
Climate science, hydrology, and weather forecasting
Deliverable
production ML models
Required skills
Python development, MLOps, CI/CD pipelines, version control (Git), automated testing, ML library integration, data-driven system design, cloud/on-premise environments
Preferred skills
MLflow, research-intensive environments
Technologies
Python, Git, CI/CD tools, ML libraries, cloud platforms
Responsibilities
Design and develop scalable ML infrastructure, automate the Research-to-Operations (R2O) cycle, ensure model reproducibility and reliability, collaborate between developers and scientists, implement monitoring and testing protocols
Seniority
Mid-level (2+ years experience)