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2 дня назад

Senior Software Engineer (AI/ML)

150 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer (AI/ML): Developing compliance and business-processing analytics, automated compliance functions, and machine-learning proof-of-concepts with an accent on model development, feature engineering, and monitoring. Focus on integrating and testing AI algorithms, implementing metrics for data flows and tools, and building Random Forest-based solutions in a national security environment.

Location: Laurel, Maryland, United States. Telework may be possible for up to two days per week when tasking becomes available, but it is not guaranteed.

Salary: $150,000–$200,000 USD per year

Company

hirify.global delivers mission and technical expertise for national security, technology, and defense challenges.

What you will do

  • Develop, enhance, and prototype compliance and business-processing analytics and tools.
  • Automate compliance functions and improve existing automation methods.
  • Investigate, integrate, and test machine-learning and AI algorithms and research proof-of-concepts.
  • Build models and implement metrics and monitoring for tools, functions, and data flows.
  • Document solutions and review technical documentation.

Requirements

  • Active TS/SCI clearance with Polygraph applicable to the customer.
  • 14–20 years of software engineering experience on programs and contracts of similar scope, type, and complexity.
  • Bachelor’s degree in Computer Science or a related discipline; four additional years of software engineering experience may substitute for the degree.
  • Experience with Python, Java, Scala, Linux, SQL, JSON, Lucene, JEXL, GM Learn, Jira, and Confluence.
  • Experience with exploratory data analysis, Random Forest feature development, machine-learning model building and monitoring, Scikit-learn, Ghostmachine Map/Reduce, and Jupyter Notebooks.
  • Experience with Agency compliance standards, policies, authorities, corporate systems, and documentation.

Nice to have

  • Data science background and experience implementing machine-learning systems.
  • Experience with AWS and Spark.
  • Experience with Agentic AI, large language models, machine-learning feature development, and other machine-learning techniques.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Health Savings Account with a company contribution.
  • Paid time off, paid holidays, and paid parental leave.
  • 401(k) with a company match.
  • Training and development opportunities, award programs, and company-sponsored events.
  • Focus on work-life balance and professional growth.

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