Senior ML Infrastructure & MLOps Engineer (AI)

TL;DR

Senior ML Infrastructure & MLOps Engineer (AI): Building and scaling foundational shared systems for machine learning lifecycles with an accent on container orchestration, training frameworks, and feature-generation platforms. Focus on designing high-performance model-serving clusters, automating CI/CD for ML, and ensuring infrastructure reliability and cost-efficiency.

Location: La Honda, CA (Onsite)

Salary: $126,900–$185,100

Company

hirify.global is a staffing and recruitment firm providing professional placement services across technical and scientific sectors.

What you will do

• Architect and maintain high-performance training and serving infrastructure using GKE.
• Design and implement model optimization pipelines and foundational training tooling.
• Build automated pipelines for standardized model training, validation, and CI/CD for ML.
• Develop scalable data sampling and feature-generation platforms.
• Collaborate with ML researchers to translate theoretical models into scalable production systems.
• Monitor and optimize shared ML systems for uptime, reliability, and cost-efficiency.

Requirements

• 5 to 10+ years of hands-on experience in designing and operating large-scale distributed ML platforms.
• Deep expertise in container orchestration, specifically GKE or enterprise Kubernetes.
• Proven track record of supporting production-grade ML workflows in cloud environments.
• Hands-on experience with ML pipeline tools such as Kubeflow, Airflow, or TFX.
• Strong proficiency in distributed training strategies and feature store management.
• Must be authorized to work in the United States as per E-Verify requirements.

Culture & Benefits

• Major medical, dental, and vision insurance coverage.
• 401k retirement plan participation.
• Statutory sick pay where required.
• Commitment to reasonable accommodations for individuals with disabilities.
• Equal Opportunity Employer environment.