MLOps Engineer
Saxon Global
- Deploy and integrate ML models into production systems.
- Build and maintain automated ML pipelines (data ingestion, preprocessing, training, validation, deployment).
- Manage cloud infrastructure for ML workloads (AWS, Docker, Kubernetes).
- Implement monitoring and alerting systems for model performance.
- Automate ML workflows to improve efficiency and reproducibility.
- Optimize performance and scalability of ML models and infrastructure.
Vacancy posted 1 day ago
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