
NVIDIA
Professional Services Engineer – AI/ML
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 26/10/2025
Job overview
Date posted
11/09/2025
Location
Dubai, United Arab Emirates
Salary
Undisclosed
Compensation
Salary only
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
26/10/2025
Job description
NVIDIA is seeking a Professional Services Engineer – AI/ML to join its Infrastructure Specialist team in Dubai (with remote eligibility across UAE). The role focuses on helping customers deploy and maximize NVIDIA’s Run:ai software platform, which provides GPU virtualization and HPC scheduling for AI and ML workloads. The engineer will assist customers with onboarding, configuration, integration into ML ops environments, and diagnosing performance issues in cloud-native setups. The position involves close collaboration with internal teams, creating technical content, and developing tools and scripts to simplify integration with data science workflows.
Required skills
Key responsibilities
- Help customers with installation and onboarding of Run:ai software
- Assist data scientists and ML engineers with embedding best practices in ML operations
- Configure Run:ai to align with customer use cases
- Integrate Run:ai into customer’s existing ML ops environment including scripting
- Diagnose and solve customer issues in complex cloud native environments
- Use profiling and analysis tools to identify bottlenecks and improve deep learning model utilization
- Collaborate with Pre-Sales Solution Engineers, Account Managers, Product teams in the post-sale stage
- Develop new tools and scripts to simplify integration between Run:ai and other data science tools
Experience & skills
- 3+ years of experience in a customer-facing role at a B2B SaaS/On-Prem Software Company
- B.Sc. in Computer Science or equivalent experience
- Experience presenting to technical audiences and creating developer-oriented content
- Experience in Linux/Unix operating systems
- Hands-on experience with Kubernetes
- Experience with containerization technologies such as Docker
- Proven software development experience
- CKA certification (preferred)