MLOps Engineer (d/f/m) IoT Berlin Remote
Tasks
- Collaborate with AI/ML teams to deploy models
- Design build and maintain scalable infrastructure for ML models
- Ensure performance reliability and security of deployed models
- Implement CI/CD for ML systems
- Manage model versioning experiment tracking and reproducibility
- Monitor and validate model performance in critical environments
- Set up monitoring logging and alerting for model performance
- Support field operations by acquiring sensor data and running field trials
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Automation | Bash | CI/CD | Cloud platform | Docker | Golang | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Microservices | PyTorch | Python | TensorFlow | “as-code”
Education
N/A
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