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Software Developer, Machine Learning​/ ML Engineer, AI Engineer (Applied​/Software)

Job in Sterling, Loudoun County, Virginia, 22170, USA
Listing for: ASSYST, Inc.
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Assist in the design and coding of software components, units, and modules.
  • Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal systems, applying expertise in software engineering, machine learning algorithms, statistical analysis, and data science.
  • Prepare comprehensive test plans, conduct tests, and identify/debug problems.
  • Review, test, and deploy code changes implemented as part of releases or support activities.
  • Participate in writing product and user documentation.
  • Take proactive action to solve problems that routinely arise.
  • Perform travel to local clients as required by project or client needs; remote work is not permitted.
Qualifications
  • Master’s degree in Computer Science or a related field.
  • Expertise in computer architecture and design, software engineering concepts, and AI/ML application development using machine learning algorithms and statistical analysis.
  • Strong background in quality assurance testing to ensure high‑quality code.
  • Proficiency in data science, deep learning, and neural networks.
Benefits

We are proud to offer a robust benefits package including medical, dental, vision, 401(k) retirement plan, disability insurance, flexible spending accounts and more in order for our employees to maintain a secure work/life balance.

Equal Employment Opportunity

ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.

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