MLOps Field Engineer: Cloud AI Architect (France)

Jobgether; France; Sur place; EUR 65 000 - 100 000; Plein temps

Résumé du poste

Partner Company in France is seeking an MLOps Field Engineer to design and deploy ML and data infrastructures across Linux, Kubernetes, and leading OSS tools. This role blends technical consulting with hands-on implementation, including distributed training, real-time analytics, and high-performance AI workloads.

You will translate customer requirements into scalable infrastructure, collaborate with sales, and influence product directions by sharing insights.

Qualifications

• Bachelor’s degree in a technical discipline or equivalent experience.
• Experience in data engineering, MLOps, analytics, or deployment of big data solutions.
• Hands-on programming with Python (intermediate level).
• Strong knowledge of Linux, virtualization, containers, networking, and cloud concepts.
• Experience with Kubernetes and cloud platforms (AWS, Azure, Google Cloud).
• Understanding of enterprise open-source technologies, private clouds, ML/AI, data platforms, and analytics.
• Experience in customer-facing environments is valuable.
• Excellent English communication and presentation skills.
• Willingness to travel internationally up to 30%.

Responsabilités

• Architect cloud infrastructure and ML solutions using Kubernetes, Kubeflow, OpenStack, Spark.
• Design across the Linux stack: networking, storage, virtualization, containers, and apps.
• Deliver on-prem and public cloud solutions on AWS, Azure, and Google Cloud.
• Gather requirements and recommend open-source technologies and infra.
• Deploy, test, and hand over solutions to support teams.
• Deliver architecture presentations and training sessions for customers.
• Collaborate with sales to map customer needs to solutions.
• Provide feedback to product/engineering from customer input.
• Develop Python-based solutions and Kubernetes operators as needed.
• Travel internationally up to 30%.

Connaissances

Kubernetes

Python

Linux

Cloud platforms

Open-source tech

English communication

MLOps

Data engineering

Customer-facing

Formation

Bachelor’s degree in technical field

Outils

Kubeflow

OpenStack

Spark

AWS

Azure

Google Cloud

Description du poste

Partner Company in France is seeking an MLOps Field Engineer to design and deploy ML and data infrastructures across Linux, Kubernetes, and leading OSS tools. This role blends technical consulting with hands-on implementation, including distributed training, real-time analytics, and high-performance AI workloads.

You will translate customer requirements into scalable infrastructure, collaborate with sales, and influence product directions by sharing insights.