Machine Learning Ops Engineer
Job Description
Please find below JD
Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
Take offline models data scientists build and turn them into a real machine learning production system
Fluency in Python and PySpark
Experience working with DevOps tools preferably Azure DevOps
Experience developing and maintaining ML systems built with open source tools and monitoring ML models in production
Experience developing with containers and Kubernetes in cloud computing environments
Work in Netherlands
Employment Options
Professional Experience
Skills
- ML DevOps Engineer
- Data Engineer
- Python
- PySpark
- Azure DevOps
