Data & Machine Learning Engineer (All genders)
Tasks
- Deploy machine learning models to production
- Design and build data pipelines
- Detect data drift and retrain models
- Develop machine learning models
- Document data pipelines and model architectures
- Integrate model outputs into automated workflows
- Maintain and improve deployed models
- Scope and validate machine learning use cases
- Serve models and monitor performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | DBT | Data Drift | Data Drift Detection | Drift Detection | Google Cloud | Microsoft Azure | Model Monitoring | Model retraining | Model versioning | PyTorch | Python | SQL | Scikit-learn
Education
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