Senior MLOps Engineer (Risk)

Location: Worldwide; remote work or work from one of the company offices. Relocation support is available to hubs in Cyprus, Serbia, Georgia, or Kazakhstan.

Company

hirify.global develops software solutions for financial risk management, including data-driven scoring and real-time decision systems.

What you will do

• Evaluate Feature Store and Feature Registry solutions such as Feast, Tecton, or custom platforms, then recommend and design the target architecture.
• Define the feature lifecycle from experimentation through stable and production stages, and lead implementation with engineering and platform teams.
• Design, build, and own ML training and deployment pipelines, including experiment tracking, model registries, CI/CD, packaging, and production handoff.
• Select and establish tooling, versioning, and validation standards for the ML platform.
• Set up monitoring for model drift, degradation, feature freshness, and data quality, including alerting and response procedures with the Data Science team.

Requirements

• 3+ years of experience in ML Engineering, Data Engineering, or DevOps with hands-on production ML systems experience.
• Experience building ML training pipelines with experiment tracking and model registries such as MLflow or W&B.
• Understanding of feature stores and train-serve consistency challenges.
• Strong Python skills and sufficient ML framework knowledge to package, serve, and debug models.
• Experience with Docker and ML pipeline orchestration tools such as Kubeflow, Argo Workflows, or Metaflow; solid SQL and data warehouse knowledge.
• English at B1 level or higher for communication with an international team.

Culture & Benefits

• Remote work or flexible work from one of the company offices.
• Supportive, collaborative environment with open and transparent feedback.
• Relocation support to Cyprus, Serbia, Georgia, or Kazakhstan for employees and their families.
• Healthcare coverage, 20 days of annual leave, and paid sick leave.
• Education budget for language lessons, professional training, and certifications.
• Wellness budget covering mental health and fitness activities.