MLOps Field Engineer: AI/ML Infra & Hybrid Cloud

Lever, Inc.

France

Sur place

EUR 75 000 - 110 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Performance bonus
Remote-friendly
Learning budget
40 days leave
Travel opportunities
Wellness program

Résumé du poste

Partner Company is seeking an experienced MLOps Field Engineer based in France to design and deliver modern AI/ML architectures using open source technologies, Linux, Kubernetes, and cloud infrastructure. You will work directly with customers, addressing workloads and business requirements, and will engage in hands-on implementation, solution architecture, and technical presentations.

The role involves deploying solutions across on-prem and major cloud platforms (AWS, Azure, Google Cloud) and

Qualifications

  • Experience in MLOps, data engineering or cloud infrastructure.
  • Strong Linux, virtualization, containers, networking knowledge.
  • Fluent English with strong presentation skills; bachelor's degree required.

Responsabilités

  • Design and architect AI/ML, MLOps, data engineering and cloud infra solutions.
  • Deploy and validate solutions across on-prem and cloud platforms.
  • Collaborate with sales, product and engineering teams.
  • Deliver technical workshops, demonstrations and training sessions.
  • Travel up to 30% for customer engagements.

Connaissances

MLOps
Data engineering
Cloud infrastructure
Linux
Kubernetes
Python
Open source
English
Customer-facing

Formation

Technical undergraduate degree

Outils

Kubeflow
OpenStack
Spark
Docker

Description du poste

Partner Company is seeking an experienced MLOps Field Engineer based in France to design and deliver modern AI/ML architectures using open source technologies, Linux, Kubernetes, and cloud infrastructure. You will work directly with customers, addressing workloads and business requirements, and will engage in hands-on implementation, solution architecture, and technical presentations.

The role involves deploying solutions across on-prem and major cloud platforms (AWS, Azure, Google Cloud) and

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