Jobs → Engineering → AI/ML Platform Engineer

About the Role We are looking for an AI/ML Platform Engineer to build, manage, and optimize enterprise AI/ML infrastructure with a focus on container engineering, Kubernetes, NVIDIA GPU infrastructure, and Microsoft Azure. Key Responsibilities • Build, optimize, and maintain Docker container images for AI/ML and GPU-enabled workloads • Deploy and manage containerized applications using Kubernetes • Configure and troubleshoot NVIDIA GPU drivers, CUDA, and GPU infrastructure • Support enterprise AI/ML platforms and services on Microsoft Azure • Implement infrastructure automation using Python and Terraform • Develop and maintain CI/CD pipelines using GitHub Actions • Monitor GPU utilization, performance, security, and platform reliability • Collaborate with engineering, cloud, and cybersecurity teams Requirements • Strong Docker and Kubernetes experience • Hands-on NVIDIA GPU infrastructure and CUDA experience • Microsoft Azure cloud platform experience • Python scripting and automation • Terraform / Infrastructure as Code (IaC) • GitHub Actions and CI/CD pipelines • Understanding of MLOps, model deployment, networking, and cloud security • Familiarity with NVIDIA AI Enterprise is highly desirable