MLOps / Cloud Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a skilled MLOps / Cloud Engineer to join our remote team in Europe. You will be responsible for designing, developing, and maintaining reliable cloud and AI/ML platforms for massive enterprise utilization.
Responsibilities
- 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
Requirements
Required Skills
- 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
Advantageous
- Experience with advanced Kubernetes features, such as operators
- Experience with the Dynatrace platform
We Offer
- Opportunity to work in a 100% remote mode within the entire EU
- Collaborate with a dedicated DevOps team on cutting-edge projects
- Competitive compensation package
About the Company
Join our innovative team where you will have the opportunity to work on state-of-the-art cloud and AI/ML platforms. We are committed to providing a flexible and supportive remote work environment.
Apply
Submit your application and resume for this exciting opportunity. Our team will review your application within the next 5 days.
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