MLOps / Cloud Engineer

About the Position

Your vision. Our solutions.

We are seeking an experienced MLOps / Cloud Engineer to join our team in a remote role based in Europe.

Project Description

• Design, development, and maintenance of reliable cloud and AI/ML platforms for massive enterprise utilization
• Collaboration within a dedicated DevOps team on the development of end-to-end ML workflows and solving complex business challenges through the integration of GenAI and LLM models into a production environment
• Architecture and management of infrastructure as code with intensive use of AWS, Azure, Kubernetes, Terraform technologies, and advanced development in Python
• Building and optimizing CI/CD pipelines through GitHub Actions and ensuring comprehensive secure deployment
• Setting up and maintaining advanced monitoring and logging using the Prometheus, Grafana, and Loki stack (without the need for on-call support)
• Containerizing applications via Docker and managing the machine learning lifecycle using tools like Kubeflow and SageMaker
• Collaboration takes place in a 100% remote mode within the entire EU

Responsibilities

• Design, development, and maintenance of reliable cloud and AI/ML platforms
• Collaborate on the development of end-to-end ML workflows
• Architecture and management of infrastructure as code
• Building and optimizing CI/CD pipelines
• Setting up and maintaining advanced monitoring and logging systems
• Containerizing applications and managing the machine learning lifecycle

Requirements

• Advanced experience with:
  • Software architecture development and design in Python (minimum 5 years of experience)
  • Cloud platform, primarily AWS or Azure (including services like SageMaker or Bedrock)
  • Container orchestration and cluster management in Kubernetes (e.g., EKS)
  • Infrastructure as code and its automation using Terraform
  • MLOps tools, especially integration and maintenance of Kubeflow
• Experience with:
  • Containerization and optimization of performance and security using Docker
  • Creation and debugging of complex CI/CD pipelines, ideally via GitHub Actions
  • Deployment and work with end-to-end ML workflows and integration of LLM and GenAI
  • Monitoring and logging systems like Prometheus, Grafana, or Loki
• Advanced knowledge of:
  • CI/CD principles, security practices, and DevOps culture
  • Theoretical foundations and production deployment of a wide range of ML algorithms
  • Model registry, model performance monitoring, and data quality monitoring

Nice to Have

• Experience with advanced Kubernetes features, such as operators
• Experience with the Dynatrace platform

We Offer

• Opportunity to work in a 100% remote role within the entire EU
• Collaborate with a dedicated DevOps team on cutting-edge projects
• Work with state-of-the-art technologies in cloud and AI/ML

About the Company

The Workly s.r.o.

4D CENTER, Kodaňská 1441/46,

101 00, Praha 10.

Contact:

[email protected]

• 420 775 371 991

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