Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
ConfidentialPublic Trust/Other Required:
MBI (T2)Job Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Artificial Intelligence (AI), Data Science, Machine Learning (ML), Machine Learning Algorithms, Statistical AnalysisCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
NoJob Description:
This candidate will also be expected to interpret and decompose business requirements into data design patterns for building and maturing large language models (LLMs) to support an artificial intelligence (AI) solution. This candidate will work closely with Business Analysts to investigate, implement, and calibrate our AI solutions to achieve the desired VBA outcomes. This candidate will support the establishment of AI performance baselines for generating clinical summaries to improve accuracy and will require continuous reviews with VBA stakeholders.
As an AI/ML Engineer Principal, the work you’ll do at GDIT will be impactful to the mission of Department of Veterans' Affairs.
Responsibilities:
Interprets business goals by implementing AI and Agentic AI to achieve desired business outcomes
Utilizes machine learning based tools to monitor and analyze model performance
Evaluates the effectiveness and accuracy of new data sources and gathering techniques
Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
Develops data-driven solutions for difficult business challenges
Collaborating with all Scrum Teams to integrate AI and Agentic AI into the workflow functionality for UCAP
Reviews test results for compliance against desired VBA outcomes
Utilizing professional judgement, critical thinking skills and research to improve processes and resolve issues affecting program performance
Required Skills:
- Bachelor's Degree in business related field, engineering, or a related scientific or technical discipline
- 8+ years of related experience in AI/ML
- 5+ years of experience performing statistical analysis to include any combination of predictive analytics and broader data science tools to include AI
- 3+ years of data modeling support.
- Programming skills: e.g. R, Python, Java, Scala
- Strong knowledge of AI and Agentic AI
- Ability to obtain a Public Trust
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
