MLOps / AI-Ops Engineer

abra is recruiting an MLOps / AI-Ops Engineer to join our Data & AI Division in Haifa.

This role is responsible for managing, optimizing, and scaling the organization’s AI/ML infrastructure across both cloud and on-prem environments, ensuring high availability, performance, and cost efficiency.

Role Overview

• Manage day-to-day AI infrastructure operations, ensuring reliability, performance, and scalability.
• Deploy, configure, maintain, and troubleshoot AI platforms and tools, including GPU orchestration, Kubernetes, MLflow/Kubeflow, and vector databases.
• Monitor resource utilization (CPU, GPU, memory, storage, network) and implement performance optimizations.
• Support CI/CD pipelines and infrastructure automation using Infrastructure as Code (Terraform, Ansible).
• Implement security best practices, manage access control, and ensure compliance with AI governance policies.
• Troubleshoot operational incidents and collaborate with AI Platform and AI Security Engineers.
• Contribute to documentation, runbooks, and knowledge sharing.

Requirements

• 4+ years of experience in IT infrastructure operations and management.
• Hands-on experience with AI/ML platforms and tools (MLflow, Kubeflow, etc.).
• Expertise in containerization (Docker, Kubernetes) and GPU management.
• Experience with cloud infrastructure (Azure preferred; AWS/GCP also relevant).
• Strong Linux administration and scripting skills (Python, Bash).
• Familiarity with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
• Knowledge of networking and security best practices.
• Experience with monitoring and alerting tools (Prometheus, Grafana).