Data Scientist Engineer Level 2 – AI/ML Project TS/SCI w/Poly
Tasks
- Build data mining algorithms
- Develop experiments to generate data
- Develop feature vectors for machine learning
- Develop machine learning models
- Develop statistical tests for recommendations
- Evaluate model performance using cross validation
- Generate reports and visualizations
- Implement prototypes in production frameworks
- Optimize Large Language Models for NLP tasks
- Perform information retrieval model development
- Prototype analytic approaches
- Select algorithms using performance metrics
- Translate manual analysis into automated analytics
Perks/Benefits
Skills/Tech-stack
Confusion matrix | Cross-validation | Deep learning | Feature Engineering | GPU Computing | Graph Algorithms | Language Models | Language Processing | Large Language Models | MATLAB | Machine Learning | Natural Language | Natural Language Processing | Python | R | RAG | ROC Curve | Retrieval-Augmented Generation | SAS | SQL | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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