Machine Learning Engineer

What Impact You'll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You'll Be Owning

GRVTY is seeking a Machine Learning Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.

Responsibilities:

• The Contractor Team shall work closely with system engineers, database administrators, HR and Talent management, Subject Matter Experts (SMEs), and project managers.
• The Contractor Team shall perform a Gap Analysis of the following sub-tasks to include analyzing the current state; creating a baseline; identifying the gaps between what is known and what is needed; and developing an action plan to mitigate the gaps.
• The Contractor Team shall review Sponsor's analysis of data sets.
• The Contractor Team shall compare data sets against information contained in various HR & Talent Sponsor systems.
• The Contractor Team shall review and map Sponsor's Knowledge, Skills & Abilities (KSA) data sets to a variety of data sets pulled from various sources and identify structural differences between the fields in the various data sets.
• The Contractor Team shall review Sponsor's data cleansing status.
• The Contractor Team shall preview mock cleansing to show previous and desired end states.
• The Contractor Team shall establish a repeatable process to periodically "scrape" and collect skills from a collection of Sponsor performance reviews.
• The Contractor Team shall comply with Sponsor's guidance and policies regarding the collection, analysis and use of personal identifiable Information (PII).
• The Contractor Team shall create an access-controlled collection of disparate data sources.
• The Contractor Team shall create an access-controlled database to store collected jobs, competencies, knowledge skills, abilities (KSAs), and proficiency levels. The portable database will be transferrable to the process owner upon the completion of the implementation
• The Contractor Team shall create a data migration plan to export collected skills and competencies into Sponsor's systems.
• The Contractor Team shall scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing Sponsor databases and applications for addition to the Skills repository.
• The Contractor Team shall scrape, gather and analyze onboarding data to enrich the Skill and Competencies Repository.
• The Contractor Team shall review and analyze all Sponsor service competency data for addition to the Skill and Competencies Repository.
• The Contractor Team shall collaborate with other internal Sponsor offices to review, analyze, and update competency data from open source, commercially available, existing Sponsor databases, and applications for addition to the Skill and Competencies Repository.
• The Contractor Team shall evaluate current Sponsor Chatbot & Machine Learning (M/L), Artificial Intelligence offerings and integration methods and provide a report on opportunities to integrate with Sponsor systems.
• The Contactor Team shall evaluate and assess Sponsor's planned system restructuring and its data integration impacts with a new external service provider.
• The Contractor Team shall work with the Sponsor team supporting the system restructure to understand data standards required and the impact on the Sponsor's OPM standardization efforts.
• The Contractor Team will create a transition guide or SOP of activities.
• The Contractor Team shall create and maintain documentation for a Skills Taxonomy Gap Analysis Report - to include an assessment of the current state, proposed baseline of Competencies, Skills, Knowledge, and Abilities; identification of missing data, and an action plan for gap mitigation.
• The Contractor shall create and maintain documentation of Methodologies & Tools used to accomplish the Scope of Work.
• The Contractor Team shall create and maintain documentation related to System Access to database(s); systems used, databases accessed, to perform the work.
• The Contractor Team shall create and maintain a list of Internal and External Key Contacts, to include names and contact information.
• The Contractor shall create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
• The Contractor shall create and maintain documentation regarding the status of deliverables and open actions

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated experience designing, creating tables, views, relationships, scripting (SQL) with Database systems (Oracle, MySQL, PostgreSQL, SQL, NOSQL, structured & unstructured data)
• Demonstrated experience with implementing and using ETL tools.
• Demonstrated experience implementing, using, and creating Data APIs or Data services.
• Demonstrated experience with Python, Java, and Scala programming languages.
• Demonstrated experience implementing, using, and creating Data Visualizations.
• Demonstrated experience implementing, using, or creating Machine learning/AI software, tools and services.
• Demonstrated experience using or creating AWS Cloud based analytic tools and services.
• Demonstrated experience using and implementing Hadoop.

What Would Be Nice to Have

• Demonstrated experience with using and creating Tableau visualizations.
• Demonstrated experience with using and creating workspaces in Bluescape.
• Demonstrated experience working with data services in the Sponsor's cloud environment.
• Demonstrated experience with the Sponsor's HR data and database environment
• Demonstrated experience using SharePoint and adding and integrating content.
• Demonstrated knowledge of Agile Project Management Methodology.