NVIDIA AI Enterprise Engineer / Architect / MLOps

Location: Remote, based in Tbilisi, Georgia

Company

OnTarget Labs is an international software product development company creating next-generation product lines.

What you will do

• Build, deploy, and maintain NVIDIA AI Enterprise on NVIDIA-Certified systems, VMware, Kubernetes, and AWS, Azure, or GCP.
• Deliver generative AI solutions using NIM microservices, RAG and agent workflows from NVIDIA Blueprints.
• Fine-tune and apply guardrails to models with NeMo.
• Operate GPU orchestration, monitoring, security, upgrades, and MLOps for production workloads.
• Design target architectures and provide technical guidance to client engineering teams, depending on level.
• Document platforms and coach client engineers to operate them independently.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, or a related field.
• Excellent written and verbal English communication skills.
• Engineer: 5+ years of experience in ML engineering, MLOps, or AI infrastructure, including 2+ years working with GPU workloads.
• Architect: 8+ years of experience, including end-to-end design of enterprise AI or cloud platforms.
• Production experience with NVIDIA AI Enterprise components, especially NIM, NeMo, and Triton.
• Strong Kubernetes, container, Linux, VMware vSphere, GPU virtualization, Python, Terraform, Ansible, and Helm skills.

Nice to have

• Experience delivering an enterprise GenAI or LLM solution using RAG, fine-tuning, or agents.

Culture & Benefits

• Full-time remote work.
• Competitive compensation determined after the interview process.
• Opportunities for professional growth.
• Business trips abroad.