（2组）机器算法实习生（ Ml- 2B ）
Tasks
- Automate training evaluation and deployment
- Build intelligent agent algorithms
- Collaborate cross functional teams to improve closed loop systems
- Conduct failure prediction research
- Create high quality datasets and benchmarks
- Deploy models for production
- Design machine learning models
- Develop and optimize deep learning models
- Do time series modeling
- Perform anomaly detection
- Train evaluate and tune models
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Benchmark | Data Set | Deep learning | Failure Prediction | JAX | LSTM | LightGBM | Machine Learning | Model Deployment | Model Evaluation | Model Training | Predictive Maintenance | PyTorch | Python | Series modeling | TensorFlow | Time Series | Time Series Modeling | Transformer | XGBoost
Education
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