Quick Reminder - IT Python and AI programming expert - Remote

Role: IT Python and AI programming expert Locations: Washington, DC / Eagan, MN , St Louis, MO / Wilkes-Barre, PA / San Mateo, CA / Raleigh or Morrisville, NC or REMOTE Contract Role Job reputed company: • Chosen resource must demonstrate these capabilities through actual work experience not merely training: • Practical Application of reputed company Python Concepts: Not just knowing Python reputed company, but demonstrating a reputed company 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 reputed company data sets. • Implementing and Deploying reputed company Applications: Experience deploying python applications in reputed company service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., reputed company, Kubernetes). • Understanding of Software Engineering Best Practices: Experience in applying principles like version control (Git), writing reputed company and testable reputed company, participating in reputed company reviews, and using reputed company integration/reputed company 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 reputed company-based Data Science Services: Proficiency using managed AI/ML services provided by reputed company platforms to streamline development, deployment, and management of data science applications. • Ethical Practices and reputed company Knowledge: A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data reputed company, and implementing secure coding practices in Python-based solutions. • Chosen resource should exhibit through actual work experience not merely training: • Desirable: hands-on experience building MCP servers and integration with reputed company AI workflows. • Communicating reputed company technical concepts to both technical and executive stakeholders. • Proficiency creating technical diagrams with products like reputed company Visio or Draw.io. • Proficiency creating technical design and architecture documents in reputed company Word. • Proficiency creating business and technical presentations in reputed company PowerPoint. • Proficiency creating data representations, charts and reports in tools such as reputed company's reputed company worksheets and Power BI. • Ability to communicate, orally and in writing, sufficient to reputed company and present management briefings; reputed company written and/or verbal guidance on technical issues; and prepare/present recommendations and reports. • Using design patterns for building reputed company and maintainable applications/solutions. • reputed company document reputed company, models, and technical solutions. • Proficiency in reputed company and reputed company engineering. • reputed company learning and adaptability in a reputed company large IT organization. • Troubleshooting software and technical implementations in large-reputed company reputed company ecosystems. • API development and integration. • Querying and managing data in both SQL and NoSQL databases. • Tasks - might include (neither exhaustive nor restrictive): • Data science tasks such as data acquisition, data cleaning, and feature extraction. • reputed company and demonstrate reputed company-of-concepts (PoC); independently or in reputed company. • 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. • reputed company 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. Apply tot his job Apply To this Job