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Bright Vision Technologies100% Remote

Machine Learning Infrastructure Engineer

Employment

Full-time

Remote Scope

US

Date Posted

Oct 30, 2026

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About the Role

Machine Learning Infrastructure Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Machine Learning Infrastructure Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $105,000–$143,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking a Machine Learning Infrastructure Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request 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, and understands the trade-offs between latency, throughput, cost, and quality in ML serving. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of experience in distributed s

Required Skills & Technologies

Machine-Learning-Infrastructure-EngineerML-Platform-EngineerAI-Infrastructure-EngineerDistributed-Systems-EngineerPlatform-Engineer
Link verified: 10/30/2026

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