Description

Build and manage enterprise-wide AI infrastructure and MLOps pipelines. You will design processes for model containerization, deployment, versioning, and quality monitoring. Provision infrastructure using OpenShift, Ansible, or Terraform to support production-scale model inference. Configure and administer NVIDIA GPU containers and GPUDirect Storage Provision. Automate and manage Dell Technologies products including PowerStore and PowerScale. Monitor MLOps infrastructure to ensure stability and performance.

Responsibilities

• Design and implement MLOps processes for model lifecycle management.
• Provision infrastructure using OpenShift, Ansible, or Terraform.
• Configure NVIDIA GPU containers and GPUDirect Storage Provision.
• Automate Dell Technologies products including PowerStore and PowerScale.
• Monitor infrastructure to ensure stability and performance.

Required Skills

• 12+ years of software development experience.
• 5+ years with AI/MLOps platforms (MLFlow, cnvrg.io, Domino, Kubeflow, H2o.ai, or run.ai).
• Deep expertise in Docker, Kubernetes, and OpenShift.
• Hands-on experience with IaC tools like Ansible and Terraform.
• Experience with NVIDIA Bright Cluster Manager and DGX H100/A100 administration.
• Knowledge of NVIDIA AI Enterprise (Metropolis, Riva, NeMo, Morpheus, Merlin).
• Proficiency in Python and Shell scripting for automation.
• Experience with Dell products, networking, and data center technologies.
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure).

Preferred Skills

• Knowledge of machine learning frameworks like scikit-learn, Keras, PyTorch, or TensorFlow.
• Proficiency in Python, Pandas, and other data science packages.
• Exposure to Generative AI models such as OpenAI.

Key Skills

Education

Bachelor's or Master's degree in Computer Science, Engineering