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AIML Ops Engineer – Sanity Check (NVIDIA)
Job Location:
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 May 2026 (30+ days ago)
Posted:
Application Deadline:
26 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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/GCP).
- 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
- GCP
- Azure
- Terraform
- Kubernetes
- Python
- GenAI Platforms
- Arize AI
- Claude Cowork
- HashiCorp Vault
- LLMs
- RAG
