ExpediteInfoTech Inc
Chosen resource must demonstrate these capabilities through actual work experience not merely training:
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.
Chosen resource should exhibit through actual work experience not merely training:
Desirable: hands on experience building MCP servers and integration with Agentic AI workflows. Communicating complex technical concepts to both technical and executive stakeholders. Proficiency creating technical diagrams with products like 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'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 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.
Tasks - might include (neither exhaustive nor restrictive):
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
About:
ExpediteInfoTech, Inc. (EIT) is a SBA 8(a) certified small business. Headquartered in Rockville, MD since 2012, EIT has provided specialized technical, cybersecurity, IT, and financial advisory solutions to the Federal, State and County governments. Our clients include the US Department of Education, US Department of Transportation, US Department of Justice, US Department of Health & Human Services, Montgomery County government, Prince George's County Government, the governments of the State of Maryland and the District of Columbia. EIT is appraised at level 3 for CMMI Services & CMMI Development, as well as ISO 9001:2015, ISO 20000-1:2018 and ISO 27001:2013.
EIT offers a competitive benefits package including medical, dental, vision and prescription drug coverage, paid time off, federal holidays, matching 401K plan, and tuition/professional development reimbursement benefits.
EIT is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.
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.
Chosen resource should exhibit through actual work experience not merely training:
Desirable: hands on experience building MCP servers and integration with Agentic AI workflows. Communicating complex technical concepts to both technical and executive stakeholders. Proficiency creating technical diagrams with products like 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'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 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.
Tasks - might include (neither exhaustive nor restrictive):
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
About:
ExpediteInfoTech, Inc. (EIT) is a SBA 8(a) certified small business. Headquartered in Rockville, MD since 2012, EIT has provided specialized technical, cybersecurity, IT, and financial advisory solutions to the Federal, State and County governments. Our clients include the US Department of Education, US Department of Transportation, US Department of Justice, US Department of Health & Human Services, Montgomery County government, Prince George's County Government, the governments of the State of Maryland and the District of Columbia. EIT is appraised at level 3 for CMMI Services & CMMI Development, as well as ISO 9001:2015, ISO 20000-1:2018 and ISO 27001:2013.
EIT offers a competitive benefits package including medical, dental, vision and prescription drug coverage, paid time off, federal holidays, matching 401K plan, and tuition/professional development reimbursement benefits.
EIT is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.