Remote Staff MLOps Engineer — Low-Latency ML Platform

Sequen AI; United States; Remote; USD 220,000 - 280,000; Full time

Job summary

Sequen AI in the United States is seeking a Staff MLOps Engineer to build and operate the critical systems powering its AI models in production, with a focus on ultra-low latency and high-throughput pipelines across multiple cloud environments.

You will collaborate with ML researchers and backend engineers to turn experimental breakthroughs into scalable serving topologies, implement robust CI/CD, and monitor system reliability with real-time telemetry.

Qualifications

• 4–8+ years in MLOps, ML engineering, or distributed infra.
• Experience deploying ultra-low-latency ML models under real-time load.
• Proficiency with Python and PyTorch in production.
• Comfort with AWS, GCP, or Azure and container orchestration.
• Experience with CI/CD, model registries, and telemetry.

Responsibilities

• Build, scale, and operate critical systems for model deployment and real-time telemetry.
• Move models from experimentation to production, balancing latency and throughput.
• Implement CI/CD, canary releases, and zero-downtime rollbacks.
• Architect real-time pipelines to monitor model performance and data drift.
• Develop evaluation loops to validate live inference accuracy.

Skills

MLOps experience

Low-latency serving

Python

PyTorch

Distributed systems

Cloud platforms (AWS/GCP/Azure)

CI/CD tooling

Tools

Docker

Kubernetes

MLflow

Git

Terraform

Job description

Sequen AI in the United States is seeking a Staff MLOps Engineer to build and operate the critical systems powering its AI models in production, with a focus on ultra-low latency and high-throughput pipelines across multiple cloud environments.

You will collaborate with ML researchers and backend engineers to turn experimental breakthroughs into scalable serving topologies, implement robust CI/CD, and monitor system reliability with real-time telemetry.