ironquill.tech/board

$ cat jobs/model-serving-engineer-bright-vision-technologies-6ec2944b5360.json

Model Serving Engineer

bright vision technologies·US·United States·mid
mlllm
Apply on himalayas → Get AI match score →
Model Serving 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: Model Serving 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 Model Serving 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 serving with API gateways, identity systems, and observability platforms. Implement caching, prompt deduplication, a

Similar remote roles

Data Scientist, Applied AI - Latin America - Remote
azumo · LATAM · mid
Lead Machine Learning Engineer
justanswer llc · Worldwide · senior
Senior Applied AI/ML Scientist - Retailer Growth
Faire · Canada · senior
Staff Software Engineer (Python)
Sia · Worldwide · senior
Senior Data Science Consultant
Sia · EU · senior
ML Ops Engineer
Zeta Global · Worldwide · mid
AI/ML Engineer
Accenture Federal Services · Worldwide · mid
Data Scientist
mutual of omaha · US · mid