Senior Machine Learning Engineer
Tasks
- Automate testing and deployment
- Build cloud-based ML architectures
- Collaborate with cross-functional agile teams
- Construct data pipelines for ML models
- Design and deliver ML models and components
- Develop and validate ML models
- Implement Continuous Integration and Continuous Deployment
- Inform ML infrastructure decisions
- Monitor and ensure model performance in production
- Reduce vulnerabilities and ensure responsible explainable AI
- Retrain, maintain, and monitor models in production
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Bias Variance | Big Data | Cloud Computing | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Feature Selection | Google Cloud | Google Cloud Platform | High Availability | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Model Training | Model Validation | Model retraining | Performance Engineering | PyTorch | Python | Scala | Scikit-learn | TensorFlow | Test automation
Education
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