Machine Learning Engineer
Tasks
- Analyze model failures
- Build dataset pipelines
- Create model evaluation suites
- Develop labeling workflows
- Develop tooling for experiment tracking and model comparison
- Improve data quality
- Package models with documentation and reproducible evaluations
- Run hyperparameter and architecture experiments
- Track benchmarks across model versions
- Train and fine tune models on curated datasets
- Translate findings into dataset improvements
Perks/Benefits
Skills/Tech-stack
Benchmarking | Data labeling | Data pipeline | Experiment tracking | Fine Tuning | Hyperparameter Tuning | Machine Learning | Model Evaluation | Model Training | Python | Regression testing
Education
N/A
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