MLOps Engineer – Production ML & Cloud Automation

RAISE France; Paris; Hybride; EUR 50 000 - 75 000; Plein temps

Avantages offerts par ce poste

Partial remote option

Résumé du poste

RAISE France is looking for a skilled MLOps Engineer based in Paris to work at the intersection of cloud infrastructure and machine learning operations. In this hybrid role, you will build and maintain tools for deployment and automate the provisioning of infrastructure.

Ideal candidates will have a minimum of 2 years of experience in relevant technical fields, strong knowledge of containerization, orchestration tools, and proficiency in Python. This position offers partial remote working options and a start date of 01 June 2026.

Qualifications

• Minimum 2 years of technical experience in relevant fields.
• Experience with cloud infrastructure or MLOps is preferred.
• English proficiency at or above B2 level.

Responsabilités

• Maintain and evolve cloud-based infrastructure for ML.
• Build tools, pipelines, and deployment workflows.
• Improve automation of provisioning and scaling of infrastructure.
• Design and maintain scalable model deployment pipelines.
• Support deployment and monitoring of computer vision models.

Connaissances

Networking Administration

Linux Systems Administration

MLOps & Orchestration tools

Containerization & orchestration

Machine Learning workflows

Enterprise Security tooling

CI/CD Pipelines

Monitoring technologies

Managing resources in the Public Cloud

Databases proficiency

Formation

Master's Degree

Outils

Docker

Kubernetes

Prometheus

Grafana

MLFlow

KubeFlow

DVC

Airflow

PostgreSQL

Kafka

Description du poste

RAISE France is looking for a skilled MLOps Engineer based in Paris to work at the intersection of cloud infrastructure and machine learning operations. In this hybrid role, you will build and maintain tools for deployment and automate the provisioning of infrastructure.

Ideal candidates will have a minimum of 2 years of experience in relevant technical fields, strong knowledge of containerization, orchestration tools, and proficiency in Python. This position offers partial remote working options and a start date of 01 June 2026.