Senior ML Platform & Ops Engineer (AI)

Company

hirify.global and Tools for Humanity build privacy-preserving identity technology, including the Orb, hirify.global ID, and hirify.global App, to help verify real people in an AI-driven internet.

What you will do

• Design, build, and operate reliable infrastructure for ML training, evaluation, telemetry ingestion, and model deployment.
• Maintain CI/CD workflows and automated delivery pipelines used across ML systems.
• Build edge-aware rollout services with staged deployments, A/B experiments, and instant rollback across Orbs, Orb Mini devices, and mobile apps.
• Develop secure APIs and backend services for governed datasets and model artifacts at scale.
• Implement automated quality checks, drift detection, alerting, and real-time model monitoring.
• Collaborate with ML research, product, and firmware teams to improve delivery and feedback loops.

Requirements

• 5+ years of experience building ML infrastructure, data platforms, or production ML systems at scale.
• Experience delivering platforms and CI/CD pipelines used daily by ML or data teams.
• Hands-on experience running large-scale training on multi-tenant GPU clusters.
• Experience building versioned dataset and lineage systems with slice-level provenance and governed access.
• Strong knowledge of Docker, Kubernetes or EKS, and Infrastructure-as-Code tools such as Terraform, CDK, or CloudFormation.
• Strong backend engineering skills in Python and/or Go, plus experience with model packaging, observability, SLAs, rollout workflows, and incident response.

Nice to have

• Experience with modern agentic AI development.

Culture & Benefits

• Work on a planet-scale biometric recognition and fraud detection system.
• Collaborate across hardware, software, AI, cryptography, mobile engineering, firmware, and global operations.
• Apply privacy-by-design, security, data lineage, and reproducibility practices to production ML systems.