Senior ML OPS Engineer

Your responsibilities:

• Design and maintain CI/CD pipelines (GitLab, ArgoCD).
• Implement infrastructure automation (Terraform, Ansible, CloudFormation).
• Manage cloud-native environments (AWS, GCP, Azure) and Kubernetes services (EKS, GKE, AKS).
• Collaborate with ML teams on deploying and maintaining ML models (MLflow, SageMaker, Kubeflow).
• Set up monitoring, logging, and alerting systems.
• Solve operational issues and develop tools that support development teams.

We are looking for you, if you have:

• 4+ years of experience with Python, Git, Linux, Docker, Kubernetes.
• Strong experience in CI/CD, cloud infrastructure, and automation tooling.
• At least 1 year of experience in ML-related projects (NLP, CV, predictive modeling).
• Familiarity with DevOps principles and Agile development.
• Strong troubleshooting mindset and communication skills.
• English at B2 level or higher.

We offer:

• Participation in interesting and demanding projects
• Flexible working hours
• A great, non-corporate atmosphere
• Stable employment conditions (contract of employment or B2B contract)
• Opportunities for development and promotion
• Attractive package of benefits
• Remote work

We reserve the right to contact the selected candidates.