AI/ML Engineer – GPU-Accelerated Real-Time Inference

Benz Technology; Fort Meade (MD); On-site; USD 150,000 - 190,000; Full time

Job summary

Benz Technology is seeking an AI/ML inference engineer to join a team focused on high-performance GPU-accelerated applications in a cloud environment. You will develop AI/ML models, deploy cloud infrastructure with Terraform on AWS, and work with large streaming datasets for real-time processing.

The role requires proficiency in C++, Python, or Golang and experience building latency-sensitive systems, with a focus on scalable streaming analytics.

Qualifications

• AI/ML development or integration experience.
• Terraform on AWS.
• Proficiency in C++, Python, and/or Golang.
• GPU-enabled / high-performance application development.
• Large-scale streaming data analytics.

Responsibilities

• Develop and integrate AI/ML models into production inference pipelines.
• Build and deploy cloud infrastructure using Terraform on AWS.
• Write high-performance, GPU-enabled applications for real-time processing.
• Design and maintain large-scale streaming data analytic systems.
• Contribute across the stack using C++, Python, and/or Golang.
• Optimize application performance for latency-sensitive workloads.

Skills

AI/ML development

GPU programming

Latency optimization

Streaming analytics

Tools

Terraform on AWS

Docker

Kubernetes

Job description

Benz Technology is seeking an AI/ML inference engineer to join a team focused on high-performance GPU-accelerated applications in a cloud environment. You will develop AI/ML models, deploy cloud infrastructure with Terraform on AWS, and work with large streaming datasets for real-time processing.

The role requires proficiency in C++, Python, or Golang and experience building latency-sensitive systems, with a focus on scalable streaming analytics.