Provide data science, artificial intelligence (AI) / machine learning (ML), and analytics support to Department of State clients.
Requirements
- Solid understanding of various supervised and unsupervised ML methods and techniques.
- Proficiency in wrangling data and developing AI/ML models using Python.
- Experience utilizing Large Language Models.
- Understanding of Natural Language Processing.
- Understanding of ML model containerization, such as with Docker.
- Understanding of DevSecOps principles.
- Ability to learn new technical skills.
Responsibilities
- Wrangle, cleanse, and analyze data using Python.
- Develop, evaluate, monitor, and maintain AI/ML predictive models and Natural Language Processing models using Python.
- Develop advanced data visualizations and dashboards using Power BI or Tableau using best practices.
- Perform data science in an Azure environment.
- Leverage data science platforms such as Databricks.
- Work with Lange Language Models.
- Containerize ML models using tools such as Docker and help manage deployments on OpenShift.
Other
- Active SECRET (or higher) security clearance.
- Bachelor’s degree in a relevant technical field.
- Ability to operate independently or collaboratively in small teams.
- Strong communication and presentation skills for both technical and non-technical audiences.
- Ability to understand client mission, business processes, and data nuances and adapt data science solutions accordingly.
