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2 дня назад

Data Scientist (Generative AI)

97 900 - 133 500$
Формат работы
hybrid
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

Текст:
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TL;DR
Data Scientist (Generative AI) (Python/LLMs): Building production-ready generative AI applications and autonomous agents for healthcare with an accent on responsible AI, enterprise integration, and large-scale machine learning. Focus on designing agentic systems with LangChain, LangGraph, AutoGen, or CrewAI, deploying models with MLOps and DevOps teams, and implementing monitoring for reliability and compliance.

Location: Hybrid, with 3 days per week in office and 2 days per week remote. Office locations: Louisville, KY; Boston, MA; New York, NY; Dallas, TX; Tampa, FL; Washington, DC (Arlington, VA).

Salary: $97,900–$133,500 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services through hirify.global and CenterWell.

What you will do

  • Design and develop responsible AI solutions using Python, machine learning, generative models, and large language models.
  • Build autonomous agentic AI systems with frameworks such as LangChain, LangGraph, AutoGen, and CrewAI.
  • Integrate AI applications into enterprise systems and workflows in collaboration with business stakeholders.
  • Partner with engineering, product, MLOps, and DevOps teams to deploy and maintain production AI models.
  • Develop advanced machine learning models, large-scale data science initiatives, and monitoring capabilities.
  • Create reports, projections, models, and presentations for business stakeholders.

Requirements

  • Bachelor’s degree with 2 or more years of applicable experience, or master’s degree with 1 or more year of experience.
  • Experience designing agentic AI systems and developing production-ready AI solutions.
  • Experience collaborating with MLOps and DevOps teams.
  • Proficiency in SQL, Python, PySpark, and data analysis or data mining tools.
  • Experience with Scikit-Learn, TensorFlow, or PyTorch; language modeling with transformers; and high-performance, large-scale machine learning systems.
  • Experience with large-scale ETL.

Culture & Benefits

  • Work in an enterprise AI organization focused on safe, transparent, and impactful healthcare solutions.
  • Collaborate with data scientists, data engineers, software engineers, policy experts, business leaders, and other stakeholders.
  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan, paid time off, holidays, and paid parental and caregiver leave.
  • Short-term and long-term disability, life insurance, and other wellness benefits.

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