Description

Build and manage enterprise-wide AI infrastructure and MLOps pipelines.

This role is on-site.

Responsibilities

• Design and implement MLOps processes for model lifecycle management, including 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.

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.

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