Graduate ML Engineering Intern
Tasks
- Build predictive maintenance pipelines
- Conduct model verification and validation
- Develop anomaly detection models
- Develop data pipelines and feature engineering workflows
- Estimate battery remaining useful life
- Evaluate deep learning architectures for time series
- Integrate forecasting models into digital twin and EMS platform
- Perform unit and integration testing for machine learning models
- Run experiments and report results
Perks/Benefits
- 401k plan
- Employee stock purchase plan
- Flex spending
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid time off
- Short-term disability
- Training
- Tuition reimbursement
Skills/Tech-stack
AI Foundry | Anomaly Detection | Azure AI | Azure AI Foundry | Azure Machine Learning | CNN | Classification | Clustering | Convolutional Neural Network | Cross-validation | Data Leakage Prevention | Data Visualization | Data handling | Data leakage | Deep learning | Evaluation metrics | Experiment tracking | Feature Engineering | Imbalanced Data | Imbalanced Data Handling | LSTM | Leakage prevention | MLflow | Machine Learning | Model Evaluation | Model evaluation metrics | Neural Network | NumPy | Overfitting Detection | Pandas | PyTorch | Python | Regression | SQL | Scikit-learn | Sequence Modeling | Series analysis | Temporal Cross Validation | TensorFlow | Time Series | Time Series Analysis | Transformer | Uncertainty Quantification | Weights and Biases
Education
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