Machine Learning Engineer – Modeling & Algorithms
Tasks
- Apply statistical methods to time series data
- Define and monitor model performance metrics
- Develop and maintain RESTful APIs for model inference
- Develop machine learning models
- Extract features and reduce noise
- Implement unit tests and follow software design patterns
- Profile and optimize model inference for low latency
- Use SQL for data querying and analysis
- Write production-quality Python code
Perks/Benefits
- N/A
Skills/Tech-stack
FastAPI | Linear Algebra | Machine Learning | NumPy | Object-Oriented | Object-oriented programming | Pandas | Probability | PyTorch | Pytest | Python | REST API | SQL | Scikit-learn | Series analysis | Signal Processing | Statistics | TensorFlow | Time Series | Time Series Analysis | Unit Testing | Version control
Education
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