NVIDIA AI Enterprise Engineer / Architect / MLOps (AI)

Location: Almaty; remote work

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, NVIDIA Blueprints, RAG, agent workflows, and NeMo.
• Operate GPU orchestration, monitoring, security, upgrades, and MLOps for production workloads.
• For architect-level work, define target designs, make technical decisions, and guide client engineers.
• Document the platform and coach client engineers to operate it independently.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, or a related field.
• Excellent verbal and written English communication skills.
• Engineer: 5+ years of experience in ML engineering, MLOps, or AI infrastructure, including 2+ years 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, containers, Linux, VMware vSphere, GPU virtualization, Python, Terraform, Ansible, and Helm skills; experience delivering an enterprise GenAI or LLM solution is required.

Culture & Benefits

• Full-time remote work.
• Competitive compensation determined after the interview process.
• Professional growth opportunities and business trips abroad.