Data Scientist
Tasks
- Apply large language models to data problems
- Build anomaly detection models
- Create agent workflows that interact with data sources and APIs
- Deploy data driven solutions to production
- Design prompt engineering and evaluation
- Develop classification algorithms
- Develop machine learning models for supervised and unsupervised learning
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Anomaly Detection | Classification | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | Spark | Supervised Learning | Unsupervised Learning
Education
Roles
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