Senior MLOps Engineer: Productionize ML Pipelines

Vinteden; Amsterdam; Hybrid; EUR 89,000 - 121,000; Full time

Benefits offered by this job

Share options programme

25 days paid annual leave

Newest MacBook models

Employee Assistance Program (EAP)

Frequent team-building events

Home office budget up to €540

Daily lunch allowance

Company bike leasing

Monthly benefits platform budget

Work from Home allowance

Pension plan

NS mobility card

Dog-friendly office

Job summary

Vinted in Amsterdam is seeking an MLOps Engineer to optimize our ML production path, modernize pipelines, and automate model deployments on Vespa, Triton, and Vertex AI. You will build robust CT pipelines and quality gates, enabling reliable end-to-end ML workflows.

You’ll join a collaborative engineering team in a hybrid setup with ongoing learning opportunities, team events, and a generous benefits program to support work-life balance.

Qualifications

• We seek an ML-literate software engineer with a service mindset.
• Excellent communication and ability to bridge Data Science and Infrastructure.
• Experience building robust CI/CD and automation pipelines.

Responsibilities

• Productionise ML models by migrating training code to robust automated pipelines.
• Build continuous training (CT) pipelines for data preparation, model training, and batch scoring.
• Automate model serving and integration to Vespa and Triton.
• Close the deployment loop with automated deployments and triggers.
• Establish and uphold ML model lifecycle standards and governance.

Skills

Service mindset

Communication

Bridge DS and Infra

Pragmatic approach

Tools

GCP/Vertex AI

Kubernetes

Docker

CI/CD

GitHub Actions

Job description

Vinted in Amsterdam is seeking an MLOps Engineer to optimize our ML production path, modernize pipelines, and automate model deployments on Vespa, Triton, and Vertex AI. You will build robust CT pipelines and quality gates, enabling reliable end-to-end ML workflows.

You’ll join a collaborative engineering team in a hybrid setup with ongoing learning opportunities, team events, and a generous benefits program to support work-life balance.