Ingeniero En Ml
Tasks
- Build ETL ELT pipelines for data preparation
- Build model deployment pipelines
- Compress prune quantize models
- Deploy machine learning models in production
- Implement CI CD for model lifecycle
- Implement model versioning and governance
- Manage ML infrastructure on cloud or on prem
- Monitor deployed models
- Optimize model latency and performance
Perks/Benefits
- N/A
Skills/Tech-stack
API | CI/CD | Cloud Computing | Data Pipelines | ELT | ETL | Kubeflow | Latency optimization | MLOps | MLflow | Machine Learning | Model Compression | Model Governance | Model Pruning | Model versioning | Quantization | TFX
Education
N/A
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