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23 часа назад

AI/ML Engineer (Finance)

116 043 - 142 147$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI/ML Engineer (Finance): Developing and deploying ML models, LLM-based components, and agentic automations for Finance Shared Services with an accent on integrating AI capabilities into production enterprise systems. Focus on implementing RAG, agentic frameworks, and MLOps practices to extend traditional RPA capabilities.

Location: 100% Remote within the US (Not eligible for visa sponsorship)

Salary: $116,043 - $142,147 / year

Company

hirify.global is a top-ranked healthcare provider dedicated to patient-first care and medical research.

What you will do

  • Develop and deploy ML models, LLM components, and agentic automations for Finance use cases.
  • Integrate AI components with UiPath automations using Maestro, AI Center, and Document Understanding.
  • Manage the full model lifecycle, including evaluation, monitoring, drift detection, and retraining.
  • Collaborate with Solution Architects to ensure architecture alignment and engineering standards.
  • Maintain production solutions, performing triage and implementing root-cause fixes.
  • Research and surface emerging AI capabilities for potential application in Finance.

Requirements

  • Master’s degree with 1 year of experience OR Bachelor’s degree with 3 years of experience.
  • Experience applying AI/ML in production environments, preferably in healthcare or highly regulated industries.
  • Proficiency with cloud infrastructure and software development tools.
  • Experience with large, complex, and heterogeneous datasets.
  • Must be based in the US; not eligible for visa sponsorship or transfer.

Nice to have

  • 3+ years of hands-on AI/ML engineering experience.
  • Strong proficiency in Python and modern ML/AI libraries.
  • Experience with LLMs (prompting, RAG, tool use).
  • Familiarity with agentic frameworks like LangChain, LangGraph, or CrewAI.
  • Experience with Azure, GCP, or similar cloud platforms for AI.
  • Certifications such as Azure AI Engineer or AWS ML Specialty.

Culture & Benefits

  • Competitive retirement package and comprehensive benefit plans.
  • Multiple medical plan options, dental, and vision coverage.
  • Pre-tax savings opportunities via HSA and FSAs.
  • Opportunities for continuing education and career advancement.
  • 100% remote work flexibility for US-based employees.

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