Python AI Developer

Title:

Python / AI Developer

Location:

Washington, DC (Onsite)

Duration:
Long term

Employment type:

Contract

Work authorization: W2 only

Candidate must hold an active public trust or be eligible to obtain one.

• 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 implementations.
• Research and present to teammates on the latest tools/packages/capabilities being developed.
• Make recommendations on relevant tools/packages to use for production environments.
• Work with 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.

• Practical application of core Python concepts: track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management.
• Data engineering and analysis skills: experience with data acquisition, cleaning, preprocessing, and transformation using Python tools for robust analysis on large-scale datasets.
• Experience deploying Python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
• Understanding of software engineering best practices: version control (Git), writing clear and testable code, participating in code reviews, and using CI/CD pipelines.
• Knowledge of data science best practices: data pipelining, feature engineering, or creation of machine learning models.
• Familiarity with cloud-based data science services: using managed AI/ML services provided by cloud platforms.
• Ethical practices and security knowledge: awareness of ethical guidelines for data science, addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions.
• Hands-on experience building MCP servers and integration with Agentic AI workflows.
• Communicating complex technical concepts to technical and executive stakeholders.
• Proficiency creating technical diagrams with Microsoft Visio or Draw.io.
• Proficiency 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 Excel and Power BI.
• Ability to communicate, orally and in writing, 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 adaptability in a very large IT organization.
• Troubleshooting software and technical implementations in large-scale enterprise ecosystems.
• API development and integration.
• Querying and managing data in both SQL and No
  
  SQL databases.

• Mid-Senior level

• Contract

• Consulting

• IT Services and IT Consulting