Senior Machine Learning Infrastructure Engineer
Tasks
- Build data pipelines and model versioning systems
- Collaborate with ML researchers and engineers to remove bottlenecks
- Deploy and manage resources across cloud and on prem environments
- Design scalable systems for training and inference of ML models at scale
- Ensure ML platform high availability through monitoring logging and alerting
- Implement distributed systems and storage for ML workloads
- Implement experiment tracking frameworks
- Improve CI CD workflows for ML models and infrastructure
- Manage large-scale GPU clusters
- Mentor junior engineers
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | C++ | CI/CD | Databases | Distributed Systems | Docker | GCP | Kubeflow | Kubernetes | MLflow | Multiprocessing | Prefect | PyTorch | Python | Ray | SQL | Storage | TensorFlow
Education
Regions
Countries
States
Cities
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