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11 дней назад

Senior MLOps Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior MLOps Engineer (AI): Building and operating scalable ML pipelines and production AI deployments across cloud, on-premise, and edge environments with an accent on Kubernetes, CI/CD, monitoring, and model lifecycle management. Focus on deploying and optimizing models for latency, accuracy, and energy efficiency, while ensuring reproducibility and reliability across infrastructure and model layers.

Location: Dresden, Germany

Company

Develops and produces solutions in test and measurement, technology systems, networks, and cybersecurity for industrial, regulatory, and government customers.

What you will do

  • Implement and maintain ML pipelines for data ingestion, training, deployment, and model CI/CD.
  • Containerize and package AI applications for hybrid-cloud and on-premise environments.
  • Deploy models on Kubernetes, Azure, and edge systems while optimizing latency, accuracy, and energy efficiency.
  • Build monitoring, logging, drift detection, and A/B testing for production models.
  • Ensure reproducibility, experiment tracking, versioning, and metadata management throughout the ML lifecycle.
  • Collaborate with AI/ML engineers to make prototypes production-ready.

Requirements

  • Several years of hands-on experience in MLOps or a comparable role.
  • Experience deploying models on cloud and on-premise infrastructures.
  • Strong Python skills and experience with Docker or Podman, Kubernetes, and CI/CD or GitOps workflows including GitLab and Helm charts.
  • Experience with experiment tracking, model versioning, monitoring, and deployment for edge and low-power environments.
  • Strong automation, reliability, troubleshooting, teamwork, communication, analytical, and presentation skills.
  • Very good German and English skills, written and spoken, are required.

Culture & Benefits

  • Inclusive work environment that welcomes people with diverse backgrounds and abilities.
  • Opportunity to work on technologies supporting a safer and connected world.
  • Projects span software, final production, technology systems, and networks and cybersecurity.

Hiring process

  • Applications are preferred through the online application portal.
  • Recruiting support is available for questions during the application process.

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