Mlops / Infrastructure Engineer

aixlabs.co

New York City, US
$130k–$230k
On-site
Cloud infrastructure (gcp or aws)
Real-time ml model serving
Api deployment and optimization
Design and maintain cloud infrastructure (GCP or AWS) to support real-time model serving, data ingestion, and evaluation workflows

Job Summary

  • Design and maintain cloud infrastructure (GCP or AWS) to support real-time model serving, data ingestion, and evaluation workflows.
  • Automate model deployment, retraining, and evaluation pipelines (CI/CD for ML).
  • Ensure security, compliance, and uptime of infrastructure supporting safety-critical systems.

Matching Summary

Design and maintain cloud infrastructure (GCP or AWS) to support real-time model serving, data ingestion, and evaluation workflows.

Salary

$130K–$230K

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
  • Observability tooling for ML pipelines

Nice-to-have

  • Trust & safety infrastructure
  • Abuse detection systems
  • LLM serving experience

Key Requirements

  • 3-8 years of industry experience
  • Experience deploying ML systems
  • Shipped and maintained production infrastructure at scale
  • Proficient in Terraform, Docker, Kubernetes

Work Rights

Not specified

Tailored Resume

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