GPU Platform Engineer for ML Ops on Kubernetes (GCP)

SmartRecruiters, Inc.; Paris (TX); On-site; USD 103,000 - 148,000; Full time

Benefits offered by this job

E-learning platform

Game library

Clubs and activities

Job summary

Ubisoft Paris, the studio behind major franchises, seeks a Platform/DevOps/MLOps Engineer to design and operate a GPU platform on GCP for AI workloads. You will implement infrastructure-as-code, enabling self-service compute for data scientists on Kubernetes and establish golden deployment paths to accelerate product delivery.

You will collaborate with Data Science teams from PoC to production, optimize costs, and continuously improve system reliability and performance in a fast-paced

Qualifications

• Significant experience as Platform/DevOps/MLOps Engineer with software fundamentals and distributed systems knowledge.
• Hands-on experience with Kubernetes, Terraform, and GitOps practices including CRDs and operators, scheduling and autoscaling, node pool design, ArgoCD, and Helm.
• Solid experience with GCP; real-world exposure to AWS is a strong plus.
• Platform-as-a-product mindset; comfortable with ambiguity and autonomy; communicate with data scientists as users.

Responsibilities

• Design, build and operate a GPU platform on GCP for AI workloads, fully expressed as infrastructure-as-code.
• Deliver self-service compute for the data science team, e.g. Ray on Kubernetes, with job submission, queuing, quotas and cost visibility.
• Establish golden paths for deploying services so product teams can ship a new service without performing operations each time.
• Assist the existing IT Squad in ensuring deployment, hosting, and smooth operation of models in production environments.
• Oversee and control infrastructure costs, including GPUs, cloud resources, and related services.
• Collaborate closely with Data Science teams, assisting from PoC to service deployment on production clusters.
• Continuously improve performance, reliability and efficiency of above systems.
• Automate internal workflows, utilizing AI-powered systems wherever applicable.

Skills

Platform/DevOps/MLOps

Kubernetes

Terraform

GitOps

Distributed Systems

English fluency

Tools

GCP

AWS

ArgoCD

Helm

Kubectl

Job description

Ubisoft Paris, the studio behind major franchises, seeks a Platform/DevOps/MLOps Engineer to design and operate a GPU platform on GCP for AI workloads. You will implement infrastructure-as-code, enabling self-service compute for data scientists on Kubernetes and establish golden deployment paths to accelerate product delivery.

You will collaborate with Data Science teams from PoC to production, optimize costs, and continuously improve system reliability and performance in a fast-paced