Machine Learning Engineer
1 week ago
Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies.
RCS is seeking a Machine Learning Engineer to review, compare, and make recommendations for actions (data cleansing and transformation), as well as support data migration planning and coordination efforts. Will also build a skills inventory, which will eventually integrate with other systems, capturing both position skill requirements and competency levels, as well as personnel skill and competencies.
This position requires the candidate to work onsite in Herndon, VA. Relocation assistance is not available.
What you will do:
- Review analysis of data sets.
- Compare data sets against information contained in various HR and Talent systems.
- Review and map the knowledge, skills, and abilities (KSAs) data sets to a variety of data sets pulled from various sources and identify structural differences between the fields in the various data sets.
- Review the data cleansing status.
- Preview mock cleansing to show previous and desired end states.
- Establish a repeatable process to periodically "scrape" and collect skills from a collection of performance reviews.
- Comply with the guidance and policies regarding the collection, analysis, and use of personal identifiable Information (PII).
- Create an access-controlled collection of disparate data sources.
- Create an access-controlled database to store collected jobs, competencies, KSAs, and proficiency levels. The portable database will be transferrable to the process owner upon the completion of the implementation.
- Create a data migration plan to export collected skills and competencies into the systems.
- Scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing databases and applications for addition to the skills repository.
- Scrape, gather, and analyze onboarding data to enrich the skill and competencies repository.
- Review and analyze all service competency data for addition to the skill and competencies repository.
- Collaborate with other internal offices to review, analyze, and update competency data from open source, commercially available, existing databases, and applications, in addition to the skill and competencies repository.
- Evaluate the current Chatbot and Machine Learning (ML), Artificial Intelligence (AI) offerings, and integration methods, and provide a report on opportunities to integrate with the systems.
- Shall evaluate and assess the planned system restructuring and its data integration impacts with a new external service provider.
- Work with the team supporting the system restructure to understand data standards required and the impact on the OPM standardization efforts.
- Will create a transition guide or Standard Operating Procedures (SOPs) of activities.
- Create and maintain documentation for a Skills Taxonomy Gap Analysis Report to include an assessment of the current state, proposed baseline of competencies and KSAs, identification of missing data, and an action plan for gap mitigation.
- Create and maintain documentation of methodologies and tools used to accomplish the Scope of Work (SOW).
- Create and maintain documentation related to system access to database(s), systems used, and databases accessed to perform the work.
- Create and maintain a list of Internal and External Key Contacts, to include names and contact information.
- Create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
- Create and maintain documentation regarding the status of deliverables and open actions
Required Qualifications/Education:
- Clearance: Active TS/SCI clearance with Polygraph
- Designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
- Implementing and using extract, transform, and load (ETL) tools.
- Implementing, using, and creating Data Application Programming Interfaces (APIs) or data services.
- Python, Java, and Scala programming languages.
- Implementing, using, and creating data visualizations.
- Implementing, using, or creating ML/AI software, tools, and services.
- Using or creating Amazon Web Services (AWS)-based analytic tools and services.
- Using and implementing Apache Hadoop.
Nice to Have Qualifications:
- Using and creating Tableau visualizations.
- Using and creating workspaces in Bluescape.
- Working with data services in the cloud environment.
- HR data and database environment.
- SharePoint, and adding and integrating content.
- Agile Project Management Methodology.
RCS is an equal employment opportunity employer. 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 law.
Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities as an applicant, please visit www.dhs.gov/E-Verify
All RCS work locations are drug-free workplaces.
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