MLOps Engineer (Hybrid) — Factory-Scale ML Infra

Station F; Paris; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Scortex is hiring a MLOps Engineer in Paris to join a hybrid role focused on cloud infrastructure, machine learning operations, and software engineering. You will build tools, pipelines, and deployment workflows that enable researchers and engineers to move faster and deploy models reliably into production.

The role involves working with Kubernetes, on-prem and cloud resources, and strong automation culture.

Qualifications

• Minimum 2 years of technical experience.
• Experience across cloud, on-prem, or hybrid environments is a plus.
• Strong automation and scripting capabilities preferred.

Responsibilities

• Automate provisioning and scaling of physical and virtual infrastructure.
• Build and maintain deployment pipelines for ML models.
• Monitor systems with dashboards and alerts; optimize latency and costs.
• Collaborate with ML researchers and software engineers to improve reproducibility and reliability.

Skills

Networking

Linux admin

MLOps tooling

Python

CI/CD

Monitoring

Cloud platforms

Tools

MLFlow

Kubeflow

DVC

Airflow

Docker

Kubernetes

Job description

Scortex is hiring a MLOps Engineer in Paris to join a hybrid role focused on cloud infrastructure, machine learning operations, and software engineering. You will build tools, pipelines, and deployment workflows that enable researchers and engineers to move faster and deploy models reliably into production.

The role involves working with Kubernetes, on-prem and cloud resources, and strong automation culture.