Machine Learning Engineer (AI Foundations)
Tasks
- Apply responsible and explainable AI best practices
- Build and automate tests and deployments
- Construct data pipelines for machine learning
- Design build and deliver machine learning models
- Develop and validate machine learning models
- Ensure code governance and vulnerability reduction
- Inform machine learning infrastructure decisions
- Leverage continuous integration and continuous deployment
- Perform hyperparameter tuning
- Retrain maintain and monitor production models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Distributed file systems | File systems | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | LLM | Machine Learning | Model Training | Model Validation | Monitoring | PyTorch | Python | Scala | Scikit-learn | TensorFlow | Test automation
Education
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