Staff AI Ops Engineer (AI/ML)

TL;DR

Staff AI Ops Engineer (AI/ML): Building, scaling, and maintaining the infrastructure that powers machine learning and generative AI applications with an accent on ensuring ML/AI systems are robust, efficient, and production ready. Focus on architecting and optimizing cloud resources on GCP for ML training and inference, and implementing comprehensive observability solutions for complex systems.

Location: Remote (United States, Canada)

Salary: 156,400 - 265,700 USD Annual (San Francisco Bay Area), 136,000 - 231,000 USD Annual (All Other US Locations)

Company

hirify.global enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses through a cloud-first, AI-powered platform.

What you will do

• Design, implement, and maintain scalable infrastructure for ML and GenAI applications.
• Deploy, operate, and troubleshoot production ML/GenAI pipelines/services.
• Build and optimize CI/CD pipelines for ML model deployment and serving.
• Architect and optimize cloud resources on GCP for ML training and inference.
• Establish monitoring, logging, and alerting for systems observability.
• Develop and enforce AIOps best practices across the organization.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 8+ years of overall software engineering experience.
• 3+ years of focused experience in DevOps/AIOps or similar ML infrastructure roles.
• Proficient in IaC, using Terraform.
• Strong experience with containerization and orchestration using Docker and Kubernetes.
• Demonstrated expertise in cloud infrastructure management on GCP.
• Strong communication skills and ability to work effectively in cross-functional teams.

Nice to have

• Familiarity with ML frameworks such as PyTorch and ML platforms like Vertex AI.

Culture & Benefits

• Remote-based position.
• Eligible for a bonus as part of the total compensation package.
• May be eligible for benefits.