Machine Learning Co-Op
Tasks
- Apply responsible AI and data governance practices
- Conduct error analysis and model diagnostics
- Define and track model success metrics
- Define problem and develop hypothesis
- Design evaluation strategy using train validation test split
- Detect patterns and generate insights
- Develop and evaluate predictive and classification models
- Document experiments assumptions results and tradeoffs
- Iterate based on quantitative results
- Lead machine learning experiments end to end
- Measure latency scalability and cost
- Perform data exploration and feature engineering
- Present findings and demos to technical and business stakeholders
- Prototype train and evaluate machine learning models
Perks/Benefits
Skills/Tech-stack
Azure | Bias awareness | Cost Optimization | Data Privacy | Data Security | Databricks | Error Analysis | Feature Engineering | Generative AI | GitHub Copilot | Language Models | Large Language Models | Latency | Machine Learning | Model Evaluation | Model diagnostics | NLP | NumPy | Pandas | Precision-recall | Python | Scalability | Scikit-learn | Supervised Learning | Train Validation Test | Unsupervised Learning
Education
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