Data Scientist Engineer Level 2 – AI/ML Project TS/SCI w/Poly
Tasks
- Build experiments and generate training data
- Build retrieval-augmented generation workflows
- Develop and optimize large language models
- Develop feature vectors for analytics
- Develop machine learning models
- Develop statistical tests and data driven recommendations
- Evaluate model performance with validation metrics
- Generate reports and visualizations
- Implement prototype algorithms in production frameworks
- Prototype algorithms and select based on metrics
- Translate manual analysis into automated analytics
- Utilize GPU resources for model training
Perks/Benefits
- N/A
Skills/Tech-stack
Confusion matrices | Cross-validation | Data Mining | Data Visualization | 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 curves | Retrieval-Augmented Generation | SAS | SQL | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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