Python AI Developer

Overview

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.

Responsibilities 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. Qualifications 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 NoSQL databases. Job Details Seniority level Mid-Senior level Employment type Contract Job function Consulting Industries IT Services and IT Consulting #J-18808-Ljbffr