AI Ops Engineer (AI)

TL;DR

AI Ops Engineer (AI): Designing, deploying, and maintaining scalable ML infrastructure and pipelines for production AI systems with an accent on MLOps best practices, automation, and robust cloud-based solutions. Focus on managing containerization, orchestrating AI workloads, and ensuring security and performance of AI systems.

Location: Hybrid work model in Warszawa, Poland

Company

hirify.global is a telecommunications company focused on driving AI solutions from experiment to enterprise-grade reality.

What you will do

• Design, deploy and maintain scalable ML infrastructure and pipelines for production AI systems.
• Implement AI/MLOps best practices including model versioning, monitoring, and automated retraining workflows.
• Manage containerization and orchestration of AI workloads.
• Set up and maintain CI/CD pipelines for machine learning models and data processing workflows.
• Monitor AI systems in production and track model performance.
• Ensure security, compliance, and governance standards across AI systems.

Requirements

• Minimum 5 years in DevOps, MLOps, or infrastructure engineering, with at least 2 years focused on AI/ML systems.
• Strong Python skills.
• Expertise in AWS, Azure, or GCP with hands-on experience in their ML services.
• Proficiency with Docker or Kubernetes.
• Familiarity with Data Governance and Data Security principles within ML pipelines.
• Expertise in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Experience with monitoring solutions such as Prometheus, Grafana, or ELK stack.