MLOps Engineer
Tasks
- Build and maintain ML infrastructure
- Build scalable training and inference systems
- Collaborate with ML researchers and developers
- Deploy ML models on embedded hardware
- Develop and manage data pipelines
- Monitor model performance and system health
Perks/Benefits
Skills/Tech-stack
CD pipelines | CI/CD | CI/CD pipelines | CircleCI | Cloud Platforms | Docker | GitLab CI | Jenkins | Kubeflow | Kubernetes | MLflow | PyTorch | Python | TensorFlow | Weights & Biases
Education
Bachelor's | Master's | PhD
Roles
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