Senior ML Infrastructure Engineer - Remote

Senior ML Infrastructure Engineer - Remote at Bright Vision Technologies - United State | Visa Sponsorship Jobs Senior ML Infrastructure Engineer - Remote Bright Vision Technologies • United State Remote Visa Sponsorship AI Summary Design, build, and operate large-scale AI training and inference platforms. Maximize GPU cluster utilization, integrate ML frameworks, and ensure reliability and cost-efficiency. Collaborate with research and applied ML teams. Key Highlights Design and operate GPU and accelerator infrastructure Integrate ML frameworks and optimize storage performance Drive cost optimization and implement security controls Key Responsibilities Design and operate GPU and accelerator infrastructure for training and inference Integrate ML frameworks into a unified platform offering Operate high-performance storage systems and data pipelines Design networking architectures supporting RDMA, InfiniBand, and high-bandwidth collective communication Build observability for AI workloads and implement checkpointing patterns Drive cost optimization and implement security controls for multi-tenant AI infrastructure Develop developer tooling and partner with ML teams to plan capacity for upcoming training runs Technical Skills Required Python Distributed training GPU cluster operation Benefits & Perks $100,000–$150,000 Annually 100% Remote (U.S.) Nice to Have Experience operating InfiniBand or RDMA networking at scale Contributions to open-source ML infrastructure projects Job Description ML 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: ML Infrastructure Engineer Locatio