Machine Learning Operations Engineer

OPSWAT

Veszprém, Hungary
On-site
Build and maintain ci/cd pipelines for ml
Automate ml model lifecycle
Develop scalable ml training infrastructure
OPSWAT is seeking a Machine Learning Operations Engineer to join their team in Veszprém, Hungary, focusing on developing and deploying AI-driven cybersecurity solutions. The role requires expertise in MLOps, CI/CD pipelines, and various ML technologies, with an emphasis on collaboration and innovation in a supportive office environment

Job Summary

  • At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions.
  • You will have the opportunity to build and maintain robust CI/CD pipelines for ML models and data workflows, automate and manage the end-to-end lifecycle of machine learning models, and develop infrastructure to support scalable, reproducible model training and serving.
  • We offer a stable, growing international company background with an exceptional customer group, the newest technology environment, and opportunities for professional development.

Matching Summary

Match Score: 85

OPSWAT is seeking a Machine Learning Operations Engineer to join their team in Veszprém, Hungary, focusing on developing and deploying AI-driven cybersecurity solutions. The role requires expertise in MLOps, CI/CD pipelines, and various ML technologies, with an emphasis on collaboration and innovation in a supportive office environment.

Skills & Requirements

Must-have

  • Build and maintain CI/CD pipelines for ML
  • Automate ML model lifecycle
  • Develop scalable ML training infrastructure
  • Monitor production ML model performance
  • Collaborate with Data Scientists and DevOps
  • Drive Infrastructure-as-Code practices
  • Troubleshoot production ML issues
  • Strong Python and Bash programming
  • Experience with ML frameworks
  • Proficiency with Docker and Kubernetes
  • Experience with Cloud platforms (AWS, GCP, Azure)
  • Experience with ML services (SageMaker, Vertex AI, MLflow, Kubeflow)
  • Experience with automation solutions (Terraform, Ansible)
  • Solid understanding of ML model lifecycle
  • Experience with Linux systems

Nice-to-have

  • Build and nourish data-driven culture
  • Continuous learning and professional development
  • Modern, inspiring office environment
  • Friendly, direct relationships with colleagues

Key Requirements

  • 3+ years of experience in MLOps, DevOps, or ML Engineering
  • Knowledge of monitoring tools for production ML systems
  • Strong communication skills
  • Excellent troubleshooting skills

Work Rights

Not specified

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