3 дня назад
Lead Data Scientist (Gen AI)
110 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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