Salary
💰 $166,600 - $225,400 per year
Tech Stack
AWSCloudJavaPythonPyTorchScalaScikit-LearnTensorflowVBA
About the role
- Join GDIT to support the Department of Veterans Affairs (VA) and transform the Veterans Benefits Administration (VBA) to improve claims processing and accelerate delivery of benefits to Veterans and their families
- Lead AI and Agentic AI solutions, including defining data design patterns for building and maturing large language models (LLMs)
- Lead a team (~6 direct reports) of Data Scientists, Machine Learning Engineers, and Analysts to design, build, and deploy AI/ML solutions supporting mission-critical workflows
- Oversee end-to-end development and operationalization of machine learning models: data preprocessing, feature engineering, training, validation, deployment, and monitoring
- Apply advanced ML techniques to evaluate model performance, interpret results, and deliver actionable insights
- Assess and validate effectiveness, accuracy, and quality of new data sources, data gathering methods, and model inputs
- Develop data-driven strategies and solutions for complex business and operational challenges in a mission-focused environment
- Collaborate with multiple Scrum teams to integrate AI and GenAI workflows into functionality and align with product goals
- Review test results, model outputs, and workflow performance to verify compliance with VBA objectives and program requirements
- Support establishment of AI performance baselines for generating clinical summaries and perform continuous reviews with VBA stakeholders
- Leverage professional judgment, critical thinking, and research expertise to continuously improve AI/ML processes and resolve technical and operational issues
Requirements
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related technical discipline; Master’s Degree preferred
- 5+ years of professional experience in data science, machine learning engineering, or AI solution development
- Minimum 5 years of experience applying machine learning and statistical analysis, including predictive analytics, supervised and unsupervised learning, and model validation
- 4+ years of experience supporting or developing production-grade data pipelines and machine learning models
- 2+ years leading technical teams (Data Scientists, ML Engineers, or Software Engineers) in the design, development, and deployment of AI/ML solutions
- Current or previous people management/ direct reports
- Proficiency in programming languages such as Python, R, Java, or Scala
- Practical experience implementing machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with Agile and Lean principles and methodologies for iterative development and deployment
- Must be able to obtain a Position of Trust and successfully pass a government background investigation, including fingerprinting and detailed forms submission
- Skills: AI Architecture, AI Programming, Artificial Intelligence (AI), DevSecOps, Generative AI
- Work visa sponsorship will not be provided for this position
- Desired: Strong knowledge of AI and Agentic AI
- Desired: AWS Certified Machine Learning Engineer – Associate or AWS Certified Machine Learning - Specialty