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1 день назад

Data Science Software Engineer (AI/ML)

49 997 - 290 004$
Формат работы
onsite
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
Data Science Software Engineer (AI/ML): Designing, developing, and prototyping analytics solutions and tools for compliance and business processing with an accent on automated compliance workflows, machine learning integration, and analytical model development. Focus on building and monitoring ML models, establishing performance metrics, validating AI solutions, and optimizing data workflows in an R&D environment.

Location: In office in Annapolis Junction, Maryland, United States

Salary: $49,996.80–$290,004.00 per year

Company

hirify.global is an equal opportunity employer offering healthcare, wellness, financial, retirement, education, and time-off benefits.

What you will do

  • Design, develop, and prototype analytics solutions and tools supporting compliance and business processing.
  • Create automated approaches to streamline compliance processes and enhance existing capabilities.
  • Research, integrate, and validate machine learning and artificial intelligence solutions in an R&D environment.
  • Develop analytical models, including Random Forest models and feature development.
  • Establish performance metrics and implement monitoring capabilities for tools, processes, and data workflows.
  • Document solutions and review technical documentation.

Requirements

  • U.S. citizenship and an active security clearance are required.
  • Twenty 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 relevant software engineering experience may substitute for the degree.
  • Proficiency with Java, Scala, Python, Lucene, JEXL, SQL, and JSON.
  • Experience building and monitoring machine learning models, developing in Linux, and using scikit-learn.
  • Experience with Ghostmachine Map/Reduce, GM Learn, Jupyter Notebooks, development environments, Git-based tools, Jira, Confluence, and agency compliance systems and standards.

Nice to have

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

Culture & Benefits

  • Full-time, in-office work arrangement.
  • Healthcare and wellness benefits.
  • Financial and retirement benefits.
  • Education and time-off benefits.
  • Equal opportunity and affirmative action employer.

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