ML Platform Engineer — Partial Remote in Paris

Station F; Paris; Hybrid; EUR 55,000 - 73,000; Full time

Job summary

Scortex is looking for an ML Platform Engineer to join Paris-based team, bridging software engineering, MLOps, and cloud infra. You will maintain tooling, deployment pipelines and monitoring to enable researchers and engineers to move faster and deploy models reliably in production.

The role emphasizes automation, security, and documentation, with collaboration across ML researchers and product teams. Some visits to factory sites may occur; partial remote possible.

Qualifications

• Experience tooling to support ML/CV R&D.
• Experience with MLOps & orchestration tools (MLFlow, Kubeflow, DVC, Airflow).
• Experience deploying ML models to production.
• Strong Python proficiency.
• Ops and sysadmin skills: networking, Linux, virtualization.
• CI/CD pipelines knowledge (GitHub Actions, etc.).
• Configuration management (Ansible, etc.).
• Monitoring systems (Prometheus, Grafana).
• Public cloud experience (Azure).
• Databases and messaging (PostgreSQL, Kafka).

Responsibilities

• Build internal tooling to support data preparation, experiment tracking, model training, and evaluation.
• Design and maintain model deployment pipelines for production inference systems.
• Support deployment and monitoring of computer vision models in production environments.
• Improve & Automate Provisioning and Scaling of physical and virtual infrastructure (incl. containers, software versions and configurations, databases, cloud resources, networking, user accounts, etc.).
• Improve & Automate Monitoring of our systems with dashboards, collectors and integrations.
• Optimizations (of Billed Cost, Dev Time or Latency/Throughput), ranging from database indexes and configurations to appropriate device selection.

Skills

ML tooling

MLFlow

Kubeflow

DVC

Airflow

Python

Networking

Linux

CI/CD

Ansible

Prometheus

Grafana

Azure

PostgreSQL

Kafka

Docker

Kubernetes

Education

Master's Degree

Tools

Docker

Kubernetes

MLFlow

Kubeflow

DVC

Airflow

Job description

Scortex is looking for an ML Platform Engineer to join Paris-based team, bridging software engineering, MLOps, and cloud infra. You will maintain tooling, deployment pipelines and monitoring to enable researchers and engineers to move faster and deploy models reliably in production.

The role emphasizes automation, security, and documentation, with collaboration across ML researchers and product teams. Some visits to factory sites may occur; partial remote possible.