This position is no longer available
UAE, Dubai Remote (Global)

NVIDIA was looking for a Professional Services Engineer, AI ML

About the Role

We are seeking a skilled Professional Services Engineer with expertise in AI, machine learning, and high-performance computing systems. In this role, you will guide customers through the deployment, configuration, and optimization of advanced infrastructure platforms tailored for data science and ML engineering teams.

Key Responsibilities

  • Lead customer onboarding and implementation of software solutions, ensuring smooth integration into existing workflows
  • Collaborate daily with data scientists and ML engineers to promote efficient use of computing resources
  • Customize platform configurations to align with specific use cases and technical requirements
  • Integrate systems into current MLOps pipelines using scripting and automation tools
  • Identify and resolve technical challenges in complex cloud-native environments
  • Use performance analysis tools to detect inefficiencies and improve utilization of deep learning infrastructure
  • Partner with internal technical and sales teams to translate business needs into effective technical solutions
  • Build custom tools and scripts to streamline interactions between data science platforms

Qualifications

  • Minimum of three years in a customer-facing technical role at a B2B software company
  • Bachelor’s degree in Computer Science or equivalent practical experience
  • Proven ability to present technical concepts to developer audiences and create technical documentation
  • Strong background in Linux or Unix operating systems
  • Hands-on experience with Kubernetes and container orchestration
  • Familiarity with Docker and containerization technologies
  • Practical software development experience

Preferred Skills

  • Certified Kubernetes Administrator (CKA) credential

Technology Environment

The role operates within a modern stack including Kubernetes, Docker, Linux, GPU virtualization, HPC schedulers, cloud-native architectures, MLOps tooling, and performance profiling systems.

Work Environment

This position offers a flexible work model with support for remote collaboration. You’ll join a culture that values innovation, inclusion, and technical excellence—working alongside driven professionals committed to advancing computing through cutting-edge technology.

Compensation & Benefits

We offer highly competitive salaries and a comprehensive benefits package. Our workplace is built on principles of diversity, equity, and empowerment, fostering professional growth and meaningful impact.

Equal Opportunity

We are committed to equal opportunity and building a supportive environment where diverse perspectives thrive.

Required Skills
KubernetesDockercontainersLinuxUnixGPU virtualizationRun:ai platformHPC schedulercloud native environmentsmachine learning operations (MLOps)technical presentationcustomer-facing engineeringB2B SaaSon-prem softwaretechnical content creation KubernetesDockercontainersLinuxUnixGPU virtualizationHPC schedulercloud native environmentsMLOpsRun:aimachine learning operationscustomer-facing technical rolestechnical presentationsB2B SaaSon-prem software
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About company
NVIDIA
NVIDIA builds accelerated computing platforms and AI technologies that power advancements in areas such as generative AI, data centers, robotics, and digital twins.
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Job Details
Category infrastructure
Posted 2 months ago