MLOps Engineer: Scale AI Production & Pipelines

The French Sourcer; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Equity plan

Flexible working

Job summary

The French Sourcer is seeking an MLOps Engineer to join their Amsterdam team in a hybrid role. You will build and maintain scalable production systems for AI models, focusing on training, deployment, monitoring, and reproducibility across cloud and Kubernetes environments.

You will develop automated pipelines for data prep, training, validation, and release, while implementing model versioning, drift monitoring, and retraining workflows.

Qualifications

• 4+ years of experience in MLOps, machine learning engineering, platform engineering, or a related role.
• Strong Python skills and production ML deployment experience.
• Practical knowledge of Docker and Kubernetes.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with MLflow, Kubeflow, SageMaker, Vertex AI, or comparable tooling.
• Experience building CI/CD pipelines and automated workflows.
• Understanding of model monitoring, versioning, retraining, and drift.
• Knowledge of infrastructure as code, preferably Terraform.

Responsibilities

• Build and maintain infrastructure for model training, deployment, and monitoring.
• Develop automated pipelines for data preparation, training, validation, and release.
• Deploy ML models through batch and real-time inference services.
• Create reproducible environments for experiments and production workloads.
• Implement model versioning, approval, rollback, and retraining processes.
• Monitor model performance, feature quality, drift, latency, and infra usage.
• Collaborate with ML engineers to move models into production.
• Collaborate with data engineers to improve training and inference data reliability.
• Manage containerised workloads across cloud and Kubernetes environments.
• Improve CI/CD processes for ML services.
• Control compute usage and infrastructure costs.
• Document production dependencies, ownership, and recovery procedures.

Skills

Python

Docker

Kubernetes

AWS

Azure

GCP

MLflow

Kubeflow

SageMaker

Vertex AI

CI/CD

Terraform

English

Job description

The French Sourcer is seeking an MLOps Engineer to join their Amsterdam team in a hybrid role. You will build and maintain scalable production systems for AI models, focusing on training, deployment, monitoring, and reproducibility across cloud and Kubernetes environments.

You will develop automated pipelines for data prep, training, validation, and release, while implementing model versioning, drift monitoring, and retraining workflows.