Mlops / Infrastructure Engineer

10alabs

New York City, US
$130k–$230k; performance-based annual bonus; suppo...
Fully remote
Cloud infrastructure (gcp or aws)
Real-time ml model serving
Api deployment and optimization
10a Labs is seeking an MLOps/Infrastructure Engineer with 3-8 years of experience to deploy and optimize machine learning systems in a real-time environment. This role involves designing cloud infrastructure, managing data workflows, and ensuring the reliability of ML models

Job Summary

  • Design and maintain cloud infrastructure (GCP or AWS) to support real-time model serving, data ingestion, and evaluation workflows.
  • Build observability tooling for production ML pipelines (monitor latency, error rates, request volumes, drift).
  • Ensure security, compliance, and uptime of infrastructure supporting safety-critical systems.

Matching Summary

Match Score: 85

10a Labs is seeking an MLOps/Infrastructure Engineer with 3-8 years of experience to deploy and optimize machine learning systems in a real-time environment. This role involves designing cloud infrastructure, managing data workflows, and ensuring the reliability of ML models.

Salary

$130K–$230K; Performance-based annual bonus; Support for continuing education, conferences, or training, Comprehensive health, dental, and vision coverage, 401(k) plan

Skills & Requirements

Must-have

  • Cloud infrastructure (GCP or AWS)
  • Real-time ML model serving
  • API deployment and optimization
  • CI/CD for ML pipelines
  • Vector databases and semantic search

Nice-to-have

  • Trust & safety infrastructure
  • LLM serving experience
  • Model monitoring platforms

Key Requirements

  • 3–8 years of industry experience
  • Experience deploying ML systems
  • Experience with GCP, AWS, or similar platforms
  • Proficient in Terraform, Docker, Kubernetes

Work Rights

Not specified

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