MLOps engineer for AI platforms

ОнТаргет ЛАБС; United States; Remote; USD 140,000 - 230,000; Full time

Benefits offered by this job

Remote work

Business trips abroad

Job summary

OnTarget Labs is seeking NVIDIA AI Enterprise Engineers and Architects for full-time remote work in the United States. The team builds next-generation software platforms and provides opportunities for professional growth and travel abroad.

Ideal candidates have extensive ML, MLOps, and enterprise AI architecture experience, including hands-on with NVAIE components and GenAI solutions. Join a friendly IT team delivering scalable GPU-based workloads.

Qualifications

• Bachelor's degree in Information Systems, CS, or related field.
• 5+ years in ML engineering, MLOps or AI infrastructure.
• 2+ years on GPU workloads.
• 8+ years in enterprise AI/cloud platform architecture.
• Hands-on production experience with NVAIE components: NIM, NeMo, Triton.
• Strong Kubernetes, Linux; comfort with VMware vSphere and GPU virtualization.
• Delivered GenAI/LLM solution (RAG, fine-tuning, or agents) into production.
• Python fluency; IaC (Terraform, Ansible, Helm).

Responsibilities

• Deploy and maintain NVAIE on NVIDIA-certified systems.
• Stand up NIM microservices, RAG and agent workflows from NVIDIA Blueprints.
• Fine-tune or guardrail models with NeMo.
• Own GPU orchestration, monitoring, security, upgrades, and MLOps for production scale.
• Document the platform and coach client engineers.

Skills

ML engineering

MLOps

GPU workloads

Kubernetes

Linux

Python

Education

Bachelor’s degree in Information Systems

Bachelor’s degree in Computer Science

Tools

NIM

NeMo

Triton

VMware vSphere

Terraform

Ansible

Helm

Job description

Описание

OnTarget Labs is a leading international software product development company. We create next generation of world class product lines. The company is looking for NVIDIA AI Enterprise Engineers and Architects to join our innovative product team as a full-time member working REMOTELY . Lots of opportunities for professional growth and business trips abroad are offered. Join our friendly team of IT professionals now!

Задачи

Build: deploy and maintain NVAIE on NVIDIA-Certified systems, VMware vSphere / VMware Private AI Foundation, Kubernetes or AWS/Azure/GCP. Ship GenAI: stand up NIM microservices, RAG and agent workflows from NVIDIA Blueprints, and fine-tune or guardrail models with NeMo. Operate: own GPU orchestration, monitoring, security, upgrades and MLOps so workloads scale across nodes and stay supported in production. Transfer knowledge: document the platform and coach client engineers so they can run it themselves.

Требования

Bachelor’s degree in Information Systems, Computer Science, or a related field Excellent verbal and written communication skills in English Engineer: 5+ years in ML engineering, MLOps or AI infrastructure, including 2+ years on GPU workloads. Architect: 8+ years, including designing enterprise AI or cloud platforms end to end. Hands‑on production experience with NVAIE components, especially NIM, NeMo, Triton. Strong Kubernetes, containers and Linux; Comfort with VMware vSphere and GPU virtualization. Delivered at least one GenAI/LLM solution (RAG, fine-tuning or agents) into enterprise production. Python fluency Infrastructure-as-code (Terraform, Ansible, Helm).

Условия

Competitive compensation to be defined upon the interview results Full time REMOTE WORK