Acuity

Machine Learning Engineer

Job Locations US-VA
Job ID
2026-4100
# of Openings
1
Category
Intelligence

Overview

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

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.

Responsibilities

What you’ll be doing: 

 

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.

Qualifications

Required Skills:

  • 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.

Preferred Skills:

  • 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.

Clearance Requirements:

  • TS/SCI w/Poly

 

 

 

 

 

 

 

About Acuity

At Acuity, your work matters—and so does your experience. We’re a management and technology consulting firm supporting critical federal missions, where you’ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.

 


 

Why You’ll Love Working Here:

 

Grow Your Career, Your Way
We invest in you with personalized development plans, mentorship, and up to $6,000 annually for training and certifications—so you can keep building the career you want.

 

Be Part of Something Innovative
You’ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.

 

Thrive in a People-First Culture
Collaboration, respect, and support aren’t just values—they’re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.

 

Feel Valued and Rewarded
We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best—at work and at home.

 

Join an Award-Winning Team
Our employees consistently rank us among the best—earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022–2025).

 

Bring Your Whole Self to Work
We’re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.

 


Make Your Impact

Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.

Learn more: www.myacuity.com


 

Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

 

 

Recruiting Scams and Fraud

Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.

 

Please note:

  • Acuity never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @myacuity.com email address.
  • If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page.

If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at careers@myacuity.com. Protecting your security and trust is important to us.

 

 

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