MLOps Engineer

MLOps 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

MLOps Engineer

Location

100% Remote (U.S.)

Position Type

Full-time, Direct W2

Salary Range

$100,000–$150,000 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 MLOps Engineer 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.

Key Responsibilities

* 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 servi