Senior Research Machine Learning Engineer
Tasks
- Develop and maintain AWS data pipelines
- Develop generative AI solutions
- Develop machine learning classification and prediction models
- Engineer data features and evaluation metrics
- Evaluate models with subject matter experts
- Experiment with LLM and statistical models
- Maintain Python codebases with unit tests
- Maintain up to date ML and AI knowledge
- Prepare technical reports patent applications and protocols
- Present model results to stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Bash | Classification | Data Pipelines | Data Visualization | Functional Programming | Generative AI | Git | LLM | Language Models | Large Language Models | Machine Learning | NumPy | Object-Oriented | Object-oriented programming | Pandas | Prediction | PySpark | Python | SciPy | Scikit-learn | Signal Processing | Unit Testing
Education
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