Hiring: MLOps Engineer Company: Bright Vision Technologies Location: Eden Prairie, MN Job Posted Time: 2026-09-16 20:38:46 Employment Type: Full-time / Remote Target Skills & Keywords : C++, Kubernetes, LLM, MLOps, Machine Learning, Python, Rust, Systems Engineering, TensorRT, vLLM About the job Required Skills: •Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems. •Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing. •Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints. •Build autoscaling and capacity management systems that balance latency, throughput, and cost. •Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads. •Integrate model serving with API gateways, identity systems, and observability platforms. •Implement caching, prompt deduplication, and response reuse strategies where appropriate. •Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking. 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. •Applied hands-on capability in LLM or large model inference frameworks such as vLLM or TensorRT-LLM. •In-depth knowledge of GPU architecture, memory hierarchies, and accelerator utilization. •Operational familiarity with Kubernetes, autoscaling, and modern cloud platforms. •Solid grounding in performance engineering and capacity planning. •Strong communication and incident response skills. •Open-source contributions to model serving infrastructure. Compensation: •$100,000 - $150,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!