Work on an ML-powered image analysis platform that automates defect detection and quality control in electroplating and surface finishing processes.

Responsibilities:

  • Design and set up AWS architecture for the ML pipeline, including image ingestion, inference, and storage of images, metadata, and results.
  • Build GitLab CI/CD pipelines for application and model components.
  • Implement Infrastructure as Code with Terraform.
  • Set up development, pre-production, and production deployment targets.
  • Automate provisioning and controlled teardown of test and pre-production environments.
  • Containerize services and integrate S3 and RDS.
  • Set up pipeline monitoring, logging, and operational traceability.
  • Document infrastructure and deployment for knowledge transfer.

Requirements:

  • 5+ years of DevOps / Cloud experience, with AWS as the primary cloud platform.
  • Hands-on experience deploying ML models or Python services on AWS, including SageMaker, inference endpoints, and Step Functions.
  • Experience with MLOps tooling such as MLflow.
  • Hands-on Terraform experience in real-world projects.
  • Experience building and managing CI/CD pipelines using GitLab CI; GitHub Actions is also acceptable.
  • Experience with Docker and container deployment on AWS, including ECS, EKS, or Lambda.
  • Experience with S3 and RDS in delivered environments.
  • Experience managing dev, pre-production, and production infrastructure.
  • English at Intermediate+ level or above.

Desired skills:

  • Building infrastructure from scratch for new products.
  • Working with hybrid on-premise and cloud environments.
  • Security and compliance practices, including ISO 27001 or similar standards.
  • Working with GPU instances and managing cloud costs.

Conditions and benefits:

  • Remote, office, or hybrid work.
  • Opportunity to earn up to an additional 1,000 EUR per month, depending on expertise, included in the annual bonus.
  • Professional training, mentoring, certification compensation, referral program, and private health insurance and sports compensation depending on employment type.