Hiring:: AI/ML Ops Engineer Sanity Check (NVIDIA) || Charlotte, NC (Onsite)

Job Title: AI/ML Ops Engineer Sanity Check (NVIDIA)

Location: Charlotte, NC (Onsite)

Job Summary

We are seeking an experienced AI/ML Ops Engineer with strong expertise in NVIDIA GPU environments, AI/ML infrastructure, and sanity testing/validation processes. The ideal candidate will support deployment, monitoring, and operational validation of AI/ML workloads while ensuring system performance, stability, and reliability across GPU-based platforms.

Key Responsibilities

• Perform sanity checks and validation for AI/ML models, pipelines, and GPU environments.
• Manage and optimize NVIDIA GPU-based AI/ML infrastructure.
• Monitor AI/ML workloads, troubleshoot issues, and ensure high system availability.
• Work with MLOps tools for deployment, automation, and CI/CD processes.
• Collaborate with AI engineers, DevOps, and infrastructure teams for production support.
• Analyze logs, performance metrics, and system behavior to identify bottlenecks.

Required Skills

• Strong experience in AI/ML Ops or MLOps environments.
• Experience with Sanity testing.
• Hands-on experience with NVIDIA GPUs, CUDA, TensorRT, or related technologies.
• Knowledge of Kubernetes, Docker, Linux, and cloud platforms (AWS/Azure/Google Cloud Platform).
• Experience with Python scripting and automation tools.
• Familiarity with monitoring, testing, and sanity validation processes for AI systems.
• Experience with ML model deployment and performance tuning.
• Understanding of CI/CD pipelines and infrastructure automation.

Primary Skills

• Google Cloud Platform
• Azure
• Terraform
• Kubernetes
• Python
• GenAI Platforms
• Arize AI
• Claude Cowork
• HashiCorp Vault
• LLMs
• RAG