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[Remote] Machine Learning Infrastructure Engineer

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company is seeking a Machine Learning Infrastructure Engineer to design, build, and operate reliable, high-performance inference platforms for large machine learning models in production. The role focuses on request routing, batching, caching, autoscaling, GPU utilization, observability, distributed systems, and performance engineering.

Responsibilities

  • Design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production
  • Request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads

Skills

  • Bachelors or Masters 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
  • Open-source contributions to model serving infrastructure
  • Experience with multi-region or globally distributed AI serving
  • Familiarity with model quantization, distillation, and compression techniques
  • Exposure to FinOps for AI workloads and cost-efficient serving design
  • Experience supporting external-facing AI APIs at scale

Benefits

  • 100% Remote (U.S.)
  • Tremendous career growth potential

Company Overview

  • GigFinder was founded on a simple premise: the traditional job search is broken. It was founded in 2025, and is headquartered in Richmond, Virginia, US, with a workforce of 2-10 employees. Its website is https://www.GigFinder.ai.
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