Machine Learning Engineer

Acuity INC

13d

About The Position

Acuity, Inc. seeks dynamic, self-motivated individuals with experience as a Machine Learning Engineer. The Client’s office leads an effort to bring its enterprise services into compliance with Federal data standards and formats. The Client is seeking analytical support to review, compare, and make recommendations for actions (data cleansing and transformation), as well as support data migration planning and coordination efforts. The Client also seeks to build a skills inventory, which will eventually integrate with other Client’s systems, capturing both position skill requirements and competency levels, as well as personnel skill and competencies. The Client’s project manager will manage priorities. Why Acuity? We’re building more than careers—we’re building a place people genuinely love to work. At Acuity, you’ll get: • Strong work-life balance and a people-first culture• Competitive compensation + Health/Dental/Vision coverage• 401(k) with company match• Up to $6,000/year for training & professional development 🏆 Recognized as a Best Places to Work (Washington Business Journal, 8+ years)🏆 Named a Top Workplace by The Washington Post (2022–2025) Ready to grow with a team that invests in you? Learn more: www.myacuity.com Why Acuity? Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions.

Requirements

Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
Demonstrated experience with implementing and using extract, transform, and load (ETL) tools.
Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (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 ML/AI software, tools, and services.
Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services.
Demonstrated experience using and implementing Apache Hadoop.
TS/SCI w/Poly

Nice To Haves

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 Client’s cloud environment.
Demonstrated experience with the Client’s HR data and database environment.
Demonstrated experience using SharePoint, and adding and integrating content.
Demonstrated knowledge of Agile Project Management Methodology.

Responsibilities

Shall work closely with systems engineers, database administrators, HR and Talent management, subject matter experts (SMEs), and project managers.
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.
Shall review the Client’s analysis of data sets.
Shall compare data sets against information contained in various HR and Talent Client systems.
Shall review and map the Client’s 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.
Shall review the Client’s data cleansing status.
Shall preview mock cleansing to show previous and desired end states.
Shall establish a repeatable process to periodically “scrape” and collect skills from a collection of Client performance reviews.
Shall comply with the Client’s guidance and policies regarding the collection, analysis, and use of personal identifiable Information (PII).
Shall create an access-controlled collection of disparate data sources.
Shall 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.
Shall create a data migration plan to export collected skills and competencies into the Client’s systems.
Shall scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing Client databases and applications for addition to the skills repository.
Shall scrape, gather, and analyze onboarding data to enrich the skill and competencies repository.
Shall review and analyze all Client service competency data for addition to the skill and competencies repository.
Shall collaborate with other internal Client offices to review, analyze, and update competency data from open source, commercially available, existing Client databases, and applications, in addition to the skill and competencies repository.
Shall evaluate the Client’s current Chatbot and Machine Learning (ML), Artificial Intelligence (AI) offerings, and integration methods, and provide a report on opportunities to integrate with the Client’s systems.
Shall evaluate and assess the Client’s planned system restructuring and its data integration impacts with a new external service provider.
Shall work with the Client’s team supporting the system restructure to understand data standards required and the impact on the Client’s OPM standardization efforts.
Shall create a transition guide or Standard Operating Procesdures (SOPs) of activities.
Shall 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.
Shall create and maintain documentation of methodologies and tools used to accomplish the Scope of Work (SOW).
Shall create and maintain documentation related to system access to database(s), systems used, and databases accessed to perform the work.
Shall create and maintain a list of Internal and External Key Contacts, to include names and contact information.
Shall create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
Shall create and maintain documentation regarding the status of deliverables and open actions.