Senior Machine Learning Engineer (AI Foundations)
Tasks
- Collaborate on agile teams to enhance big data and machine learning applications
- Construct optimized data pipelines for machine learning
- Design build and deliver machine learning models and components
- Design cloud based architectures for scalable machine learning
- Govern code and models using responsible and explainable AI best practices
- Implement continuous integration and continuous deployment with test automation and monitoring
- Retrain, maintain, and monitor models in production
- Select model data and features for model training
- Train tune and validate machine learning models
- Write test and automate deployment for machine learning applications
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | Bias Variance | Cloud Architecture | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Engineering | Data Pipelines | Data-Intensive Solutions | Data-intensive | Dimensionality Reduction | Distributed Computing | Explainable AI | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | LLM | Machine Learning | Model Monitoring | Model Validation | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow | Test automation
Education
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