Python and AI Programming Expert with Public Trust

Practical Application of Core Python Concepts:Not just knowing Python syntax, but demonstrating a 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:Demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets.Implementing and Deploying Cloud Applications: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: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.Knowledge of Data Science Best Practices:Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models.Familiarity with Cloud-based Data Science Services:Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications.Ethical Practices and Security Knowledge: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. Job Types: Full-time, Contract Experience: Core Python: 4 years (Required) AI programming: 3 years (Required) AWS, Azure, GCP: 3 years (Required) License/Certification: Public Trust (Required) Ability to Commute: Washington, DC 20590 (Required) Work Location: In person