Machine Learning Engineer
Tasks
- Build and train machine learning models
- Build training serving pipelines
- Collaborate across product and engineering teams
- Deploy production models
- Design feature engineering pipelines
- Detect data drift
- Establish ML best practices
- Evaluate model performance
- Implement model monitoring tools
- Lead end-to-end ML lifecycle
- Manage feature store
- Monitor models for drift
- Perform counterfactual analysis
- Retrain models in production
- Run offline evaluation
- Run online experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Cold Start | Counterfactual analysis | Data Drift | Deep learning | Feature Engineering | Feature Store | Imbalanced Data | Machine Learning | Model Deployment | Model Evaluation | Model Management | Model Monitoring | Model Training | Offline evaluation | Online Experimentation | Python | Retraining | Serving Pipeline | Training Pipeline
Education
N/A
Regions
Countries
States
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