Machine Learning Operations Engineer
Tasks
- Build scalable data ingestion pipelines
- Deploy ML models to production environments
- Design MLOps platforms for experimentation
- Integrate third party ML tools and frameworks
- Maintain Kubernetes based ML workloads
- Manage ML annotations centrally
- Optimize data curation and annotation workflows
- Organize datasets and metadata
- Perform hyperparameter tuning
- Preprocess labeling data
- Streamline automate model deployment
- Support model training workflows
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Amazon Web Services | CI/CD | Data labeling | DevOps | Experiment tracking | Go | Kubernetes | MLflow | Metadata Management | PyTorch | Python | Scikit-learn | TensorFlow | Web Services | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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