40 минут назад
Software Engineer 2 or 3 (Machine Learning/AI)
64 - 136$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer 2 or 3 (Machine Learning/AI): Developing compliance and business-processing analytics, automation tools, and machine learning models for federal government customers with an accent on algorithm integration, data flows, and model monitoring. Focus on building and testing complex software and database interfaces, developing Random Forest features, and leading quality control across software development teams.
Location: Laurel, Maryland; onsite. United States citizenship and a position-appropriate security clearance, such as active TS/SCI with agency-appropriate polygraph, are required.
Salary: $64.04–$136.27 per hour, before benefits.
Company
provides software engineering and technology solutions for federal government customers.
What you will do
- Develop, enhance, and prototype compliance and business-processing analytics, automation tools, and data flows.
- Investigate, integrate, and test machine learning and AI algorithms, including research proof-of-concepts.
- Build models and implement metrics and monitoring for developed tools and functions.
- Analyze requirements, design software, develop new features, debug defects, and improve system performance.
- Design complex algorithms and database or data-repository interfaces while meeting timing, resource, and interface constraints.
- Lead and coordinate software development teams, delegate programming and testing responsibilities, and ensure quality control.
Requirements
- United States citizenship and TS/SCI clearance with an agency-appropriate polygraph.
- For Software Engineer 2: 14 years of relevant software engineering experience.
- For Software Engineer 3: 20 years of relevant software engineering experience.
- Bachelor’s degree in Computer Science or a related discipline, or four additional years of relevant software engineering experience in place of the degree.
- Experience with Python, Java, Scala, Linux, SQL, JSON, Lucene, JEXL, Scikit-learn, Random Forest feature development, and machine learning model building and monitoring.
- Experience with GM Learn, Jira, Confluence, Ghostmachine Map/Reduce, Jupyter Notebooks, IntelliJ or Eclipse, Git/GitLab or Stash/Bitbucket, agency compliance standards, and corporate systems.
Nice to have
- Data science background and experience implementing machine learning systems.
- Experience with AWS and Spark.
- Experience with agentic AI, large language models, and other machine learning models and techniques.
Culture & Benefits
- Automatic SEP IRA contribution of 20% of gross compensation, fully vested from day one.
- Up to 200 hours of annual PTO with flexible yearly allocation.
- Optional medical, HSA, vision, dental, life, disability, accident, critical illness, identity theft, and legal protection plans.
- Referral bonus eligibility of up to $10,000.
- Team-building events, mobility among supported contracts, and branded clothing orders twice annually.
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