IT Python & AI Programming SME

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Artificial Intelligence

Job Qualifications:

Skills:

AI Architecture, AI Programming, Python (Programming Language)

Certifications:

None

Experience:

15 + years of related experience

US Citizenship Required:

No

Job Description:

Seize your opportunity to make a personal impact as an IT Python & AI Programming Expert supporting The United States Postal Service (USPS). GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

This position would be aligned to the USPS Office of Chief Information Officer (CIO) Architecture, Strategy, & Innovation (CASI). The position is under the Technology & Infrastructure Innovation Program which requires an IT Python & AI Programming Expert to support the team with practical application of Core Python Concepts demonstrating a track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management. Additionally, candidates will need to demonstrate experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets.

HOW AN IT PYTHON & AI PROGRAMMING EXPERT WILL MAKE AN IMPACT:

• Experience deploying python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
• Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration/continuous deployment (CI/CD) pipelines.
• Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models.
• Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications.
• A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions.
• Data science tasks such as data acquisition, data cleaning, and feature extraction.
• Develop and demonstrate proof-of-concepts (PoC); independently or in a team.
• Create technical diagrams and documentation to show PoC implementations and potential production implementation.
• Researching and presenting to teammates on the latest tools/packages/capabilities being developed.
• Make recommendations on relevant tools/packages to use for production environments.
• Work with relevant governance committees to document and obtain approval for exploratory data science efforts.
• Consulting with members of architecture teams to identify potential automation solutions which may include AI/ML.
• Collaborating with cross functional teams on holistic AI/ML solutions.

WHAT YOU’LL NEED TO SUCCEED:

Required Experience:

• 13+  years of hands-on experience

Education:

• Bachelor’s degree in computer science, information technology, or related field or equivalent experience – not required.

Required skills:

• Communicating complex technical concepts to both technical and executive stakeholders.
• Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io.
• Proficiency in creating technical design and architecture documents  in Microsoft Word.
• Proficiency creating business and technical presentations in Microsoft PowerPoint.
• Proficiency creating data representations, charts and reports in tools such as Microsoft’s Excel worksheets and Power BI.
• Ability to communicate, orally and in writing, sufficient to develop and present management briefings; provide written and/or verbal guidance on technical issues; and prepare/present recommendations and reports.
• Using design patterns for building scalable and maintainable applications/solutions.
• Clearly document code, models, and technical solutions.
• Proficiency in Generative AI and prompt engineering.
• Continuous learning and adaptabi