Senior ML Platform & Ops Engineer

Location: Munich, Germany; on-site

Company

hirify.global builds the technology behind World, including biometric verification hardware, privacy-preserving identity, and applications for a human-centered internet.

What you will do

• Design, build, and operate infrastructure for ML training, evaluation, telemetry ingestion, and model deployment.
• Maintain CI/CD workflows and automated ML pipelines.
• Build edge-aware rollout services with staged deployments, A/B experimentation, and instant rollback across Orbs, Orb Mini, 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, with experience operating production systems, defining SLAs, and handling rollouts or incidents.

Culture & Benefits

• Work on a planet-scale biometric recognition and fraud detection system targeting more than one billion users.
• Collaborate across hardware, software, AI, cryptography, mobile engineering, firmware, and global operations.
• Apply privacy-by-design, security, reproducibility, data lineage, and secure edge delivery practices.
• Contribute to ML innovation across millions of edge devices.