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3 дня назад

Lead Data Scientist (Gen AI)

110 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Lead Data Scientist (Gen AI) (Deep Learning/Computer Vision/NLP): Developing and validating advanced deep learning models and GenAI solutions for enterprise applications with an accent on production ML development, dataset creation, and model performance monitoring. Focus on fine-tuning open-source vision and language models, building LLM and Agentic AI solutions, and leading technical collaboration with business stakeholders.

Location: Hybrid, with residence or relocation within a 180-mile radius of Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; or Tempe, Arizona required. Remote work is available most of the time, with in-office expectations.

Salary: $110,000–$160,000 per year, plus potential incentive pay of up to 15% of base salary.

Company

hirify.global is an insurance company developing enterprise AI and machine learning solutions for claims, marketing, and other internal departments.

What you will do

  • Develop and validate advanced deep learning models and GenAI solutions.
  • Build datasets and define data collection, integration, and retention requirements for AI/ML development.
  • Develop, train, validate, monitor, and update end-to-end production ML models.
  • Collaborate with business areas and technical teams to scope solutions and make project decisions.
  • Present technical concepts to technical and non-technical stakeholders and provide strategic recommendations.
  • Lead and mentor data scientists, interns, and technical work teams while reviewing other model development initiatives.

Requirements

  • Master’s degree or PhD in an analytical or engineering field, plus 3+ years of predictive model-building experience.
  • Experience with Python, deep learning frameworks such as PyTorch, and fine-tuning open-source computer vision and NLP models.
  • Experience developing GenAI solutions, including LLM and Agentic AI applications.
  • Experience with IDEs, Linux terminal, version control, and cloud-based ML tools such as AWS SageMaker.
  • Strong coding, computer science, communication, and stakeholder-management skills.
  • Must be eligible to work lawfully in the United States immediately; U.S. work authorization sponsorship is not available.

Culture & Benefits

  • Hybrid work arrangement with remote work available most of the time and in-office collaboration.
  • Annual raise, incentive bonus eligibility, and comprehensive health and wellbeing benefits.
  • Training programs, tuition assistance, mentoring, and employee resource groups.
  • Paid time off, parental leave, paid holidays, life leave, bereavement leave, and community service or education support days.
  • Retirement savings through a 401(k) plan with company contributions of up to 7% of salary.

Hiring process

  • Application review followed by a recorded video assessment.
  • Live video interviews covering business-partner roleplay, code and graphical-output interpretation, and technical expertise.
  • Potential final in-person loop interview with the hiring panel.

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