11 дней назад
Senior MLOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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