SHOP APOTHEKE EUROPE
SHOP APOTHEKE EUROPE
SHOP APOTHEKE EUROPE — Redcare брендімен жұмыс істейтін, денсаулық сақтау және фармацевтикалық қызметтер көрсететін еуропалық фармацевтикалық компания. Оның қызметі дәріхана ісіне адамға бағытталған тәсіл арқылы адамдарға денсаулық жолындағы үдерістерін басқаруға көмектесуге бағытталған. Компания тұрақты дамуға да назар аударып, стратегиясын Париж климат келісімімен сәйкестендіреді және қоғаммен байланыс, инвесторлармен байланыс пен басқа да бизнес бағыттарында жұмыс істейтін командаларға ие. Компаниядағы мансап денсаулық сақтау, бөлшек сауда және Еуропадағы мақсатқа негізделген жұмысқа қызығатын мамандарға сай болуы мүмкін.

Remote MLOps Engineer in Germany

Build and run secure, dependable production machine learning services at SHOP APOTHEKE EUROPE. The role focuses on Kubernetes, CI/CD, model lifecycle management, and observability.

Сипаттама

  • Develop, run, and improve production machine learning and AI solutions
  • Partner with data scientists and engineers in cross-functional product teams
  • Help strengthen MLOps practices and the supporting platform
  • Build and run containerized services with orchestration tools such as Kubernetes
  • Resolve production issues and improve service reliability, performance, and cost efficiency
  • Write maintainable, well-tested Python for production services, automation, and internal tools
  • Develop and refine CI/CD pipelines for machine learning and AI services
  • Apply data and model versioning, validation, and observability across the ML lifecycle
  • Contribute to technical designs and architecture choices
  • Review code with teammates
  • Add automated security checks to delivery pipelines and follow secure development and operations practices

Талаптар

  • Hands-on experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating production ML/AI solutions
  • Strong Python software engineering skills, including automated testing, version control, and code review
  • Practical experience with Docker and container orchestration such as Kubernetes
  • Experience using CI/CD tools such as GitHub Actions or Jenkins
  • Familiarity with ML lifecycle practices, including model packaging, versioning, validation, deployment, and monitoring
  • Experience with tools such as MLflow or Kubeflow is a plus
  • Solid grasp of software architecture and secure software development and delivery

Артықшылықтар

  • Flexible work location when office attendance is not required, with up to 20 days per year working from anywhere in the EU
  • Creative team events and regular celebrations of successes
  • Free, anonymous professional psychological support through nilo
  • Internal and external training and support for professional development
  • Fully funded Deutschlandticket
  • Urban Sports Club M membership

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