Senior Machine Learning Infrastructure Engineer
Core
Building and maintaining the infrastructure for ML models and AI agents in drug discovery, including customer deployments and isolated environments.
Role type
Senior Machine Learning Infrastructure Engineer
Builds
Repeatable customer deployments, isolated AI agent sandboxes, and reliable GPU systems for training and inference.
Domain
Drug discovery / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Kubernetes operation, Terraform/OpenTofu, Helm, GitOps, Python, shell scripting, security engineering, GCP, AWS
Preferred skills
GPU workloads and model serving, container sandboxing, software supply chain security, Argo Workflows, regulated environments, LLM/agent platforms
Technologies
Kubernetes, GCP, AWS, Terraform, OpenTofu, Helm, Argo CD, vLLM, Knative, gVisor, Kata Containers, Cilium, Argo Workflows
Responsibilities
Manage versioned GitOps-driven releases for customer installs and upgrades; Design network policies and runtime sandboxing for multi-tenant agent environments; Secure CI/CD pipelines and software supply chains; Operate locked-down partner environments with strict access controls; Ensure reliable and cost-efficient GPU training and inference systems.
Seniority
Senior, hands-on IC