Remote Model Serving Engineer - Scale ML Inference

Bright Vision Technologies; Farmington Hills (MI); On-site; USD 74,000 - 98,000; Full time

Job summary

Bright Vision Technologies is seeking a Model Serving Engineer to design, build, and operate high-performance inference platforms for serving large ML models in production. The role focuses on the systems engineering side of AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.

The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale,

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
• Strong proficiency in Python and a systems language such as Go, Rust, or C++.
• Deep experience operating high-throughput, low-latency services in production.
• Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
• Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
• Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
• Experience with observability stacks including metrics, tracing, and structured logging.
• Solid grounding in performance engineering and capacity planning.
• Strong communication and incident response skills.

Responsibilities

• Design, build and operate high-performance inference platforms for serving large ML models.
• Handle request routing, batching, caching, autoscaling, GPU utilization, and observability across workloads.
• Optimize for latency, throughput, cost, and quality in production ML serving.
• Collaborate with distributed teams to deploy, monitor, and maintain serving systems.

Skills

Distributed systems

Python

Performance engineering

Communication skills

Incident response

Cloud platforms

GPU optimization

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Kubernetes

Go

Rust

C++

TensorRT-LLM

vLLM

Kubernetes

Job description

Bright Vision Technologies is seeking a Model Serving Engineer to design, build, and operate high-performance inference platforms for serving large ML models in production. The role focuses on the systems engineering side of AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.

The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale,