Responsibilities
- Conduct research and create novel AI and machine learning systems to support strategic initiatives
- Develop prototype AI applications and advance viable models into production environments
- Engineer generative AI capabilities using large language models
- Architect retrieval-augmented generation (RAG) systems for enhanced AI outputs
- Design and apply prompt engineering methods for enterprise-scale AI tools
- Adapt and assess foundational models for specialized domain applications
- Build natural language processing solutions for text classification, named entity recognition, information extraction, document summarization, and semantic search
- Utilize supervised, unsupervised, deep learning, and statistical techniques for modeling tasks
- Assess emerging AI tools and frameworks for potential enterprise integration
- Construct production-grade AI applications using Python, Streamlit, Dash, Flask, R, and Shiny
- Design user-friendly dashboards and analytics interfaces
- Generate interactive visualizations with Plotly, Matplotlib, Seaborn, Tableau, and Power BI
- Convert complex data findings into practical business recommendations
- Deploy machine learning and AI systems in cloud platforms
- Package applications using Docker containers
- Establish continuous integration and continuous deployment (CI/CD) pipelines for AI models
- Set up monitoring and observability for AI models in production
- Develop automated pipelines for model retraining
- Oversee model version control and lifecycle processes
- Optimize API performance and reduce AI inference expenses
- Diagnose and resolve issues in live AI applications
- Work closely with cloud engineers and infrastructure teams
- Engage in Agile workflows including sprint planning, daily standups, reviews, and retrospectives
- Collaborate with business units to uncover opportunities for AI implementation
- Transform business needs into scalable artificial intelligence solutions
Work Arrangement
Hybrid — Washington, DC
Other
- Full-Time Consultant
- Clearance/Work Authorization: U.S. Citizenship Required
- Hybrid Preferred
- Remote Considered
- Fast-paced innovation environment focused on research and rapid prototyping
