Analyze, design, verify, validate, implement, apply and maintain software systems. Appropriately apply discrete mathematics, probability and statistics, and other relevant topics in: computer science and supporting disciplines to complex software systems. Generalize techniques, as appropriate, to apply to multiple domains. Develop and provide appropriate documentation and training. Present briefings and demonstrations to stakeholders.
Capabilities
- Support the Laboratory for Analytic Sciences (LAS) in developing and coding a machine learning recommender system for corporate data feeds
- Extract, transform, and load data from Application Programming Interface (API)s and ingress feeds
- Complete initial prototype and operational evaluation, along with scalability solutions
- Create custom front end to visualize data for user interaction and feedback
- Test and evaluate use of Large Language Model (LLM)s to create queries and pull/aggregate data
Required Qualifications
- Bachelor's degree in Computer Science (CS) degree or related field plus 11 years of relevant experience or Master's degree in plus 9 years of relevant experience.
- An Associate's degree plus 13 years of relevant experience or high school diploma/GED plus 15 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
- TS/SCI clearance with polygraph
Required Technical Skills
- Use either Ghost Machine (GM) Pig and/or GMLearn Instant Environment to conduct Exploratory Data Analytics (EDA)
- Use GM Java MapReduce and/or GMLearn PySpark to Extract, Transform, Load (ETL) analytic development
- Use PyTorch, Tensorflow, and/or XGBoost Machine Learning (ML) libraries to apply LLM
- Use GitLab software version control
- Use DataExplorer (DX) to create User Interface (UI)
- Use JIRA and Machine Learning Operations (MLOps) to track progress
- Use MADSTROM to create dashboards for monitoring analytic
Desired Technical Skills
- Knowledge of WEAVINGEYE and/or CRYSTALEYES
- GAMBIT
- Analytic Vesting Process (AVG)
- Artificial Intelligence Review Committee (AIRC)β
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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