Senior Platform Engineer - W - M - Nb H/F

You will be the first member of the new Platform Team, focused on GPU workloads and high-performance model serving & training technologies. You will bring your DevOps expertise to help Data Scientists and Machine Learning Engineers build and operate AI services. You will play a key role in building and operating a new Kubernetes cluster, deploying self-service applications for other teams, establishing best practices and new workflows and mentoring future hires. In this capacity, you will:

• 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 having to perform operations each time.
• Assist the existing IT Squad in ensuring the 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 them from the PoC stage to service deployment on production clusters.
• Continuously improve the performance, reliability, and efficiency of above systems.
• Automate internal workflows, utilizing AI-powered systems wherever applicable.