Hybrid MLOps Engineer for Vision Platform

PostNL; Randstad; Hybrid; EUR 46,000 - 73,000; Full time

Benefits offered by this job

Net home office allowance €45/mo

8% holiday allowance

25 vacation days (FT)

Travel allowance with NS card

Pension scheme

Engineering laptop

Smartphone

PostNL Academy learning

Discounts on holidays and products

Job summary

PostNL Vision Solution Platform is seeking an MLOps Engineer to ensure computer vision models move smoothly from development to production. You’ll build and maintain ML pipelines, automate validation, and manage versions and deployments to improve logistics operations.

You’ll work with ML and AWS engineers to monitor performance, detect drift, and scale across multiple locations in the Netherlands, shaping the future of our AI platform with CI/CD improvements.

Qualifications

• You have at least 3 years of experience in MLOps, ML Engineering, or a related role.
• You have strong Python and/or TypeScript skills.
• You have experience building and maintaining ML pipelines.
• You have experience with model deployment, model registries, and versioning.
• You have experience with CI/CD, Docker, and Kubernetes.

Responsibilities

• Build and maintain ML pipelines for production CV models.
• Automate model validation and manage model versioning and deployments.
• Monitor model performance and detect data/model drift.
• Collaborate with ML Engineers, AWS Engineers, and other specialists to keep models reliable and scalable.
• Contribute to CI/CD improvements and future platform development.

Skills

Python

TypeScript

MLOps

CI/CD

Docker

Kubernetes

ML pipelines

AWS

Tools

AWS

Docker

Kubernetes

Job description

PostNL Vision Solution Platform is seeking an MLOps Engineer to ensure computer vision models move smoothly from development to production. You’ll build and maintain ML pipelines, automate validation, and manage versions and deployments to improve logistics operations.

You’ll work with ML and AWS engineers to monitor performance, detect drift, and scale across multiple locations in the Netherlands, shaping the future of our AI platform with CI/CD improvements.