Data Scientist
Tasks
- Apply machine learning models
- Build agent workflows interacting with data sources and APIs
- Build anomaly detection algorithms
- Collaborate with research engineers and analysts
- Design classification algorithms
- Develop supervised and unsupervised methods
- Evaluate model performance
- Leverage LLMs for user experience improvements
- Prompt engineer large language models
- Take projects from idea to production
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent workflows | Anomaly Detection | Big Data | Classification | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Supervised Learning | Unsupervised Learning
Education
Roles
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