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5 дней назад

Lead Applied AI/ML Data Scientist (Automotive SaaS)

180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/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 Applied AI/ML Data Scientist (Automotive SaaS): Building production machine learning, generative AI, and agentic capabilities for complex automotive data with an accent on rigorous evaluation, product judgment, and measurable customer value. Focus on designing reliable classification and prediction systems, grounding LLM applications in proprietary data, and improving models through production evidence.

Location: Remote

Base salary: $180,000 per year

Company

hirify.global develops intelligent SaaS solutions for automotive dealership service departments using analytics, automation, and AI-powered workflows.

What you will do

  • Own classification, prediction, and other applied machine learning approaches for complex automotive data.
  • Design, build, launch, and continuously improve production AI/ML capabilities.
  • Develop grounded LLM and agentic applications using retrieval architectures, tool use, and domain-specific model adaptation.
  • Define evaluation frameworks and production metrics for traditional and generative AI systems.
  • Partner with Product, Engineering, Data Engineering, and MLOps to establish deployment, monitoring, retraining, and lifecycle requirements.
  • Shape the AI roadmap by assessing feasibility, data readiness, customer value, and implementation complexity.

Requirements

  • 10+ years of experience in data science, applied machine learning, or a closely related discipline.
  • Deep expertise in traditional machine learning, classification, feature engineering, class imbalance, experimental design, and model evaluation.
  • Demonstrated experience shipping and improving AI/ML capabilities in commercial products used by real customers.
  • Production experience with LLMs, agentic frameworks, retrieval architectures, grounded AI, and transformer model adaptation.
  • Expert-level Python, strong SQL, large datasets, cloud data warehouses, and modern cloud-based data and ML ecosystems.
  • Master's degree in a quantitative discipline or equivalent practical experience, plus strong technical communication and influence skills.

Nice to have

  • Experience with automotive, dealership, or fixed operations data.
  • Experience with complex operational records, industry-specific taxonomies, or proprietary datasets.
  • Experience with cloud-managed AI/ML services and production model lifecycle practices.
  • Experience designing or governing large-scale expert labeling programs.

Culture & Benefits

  • Remote-first environment with autonomy, ownership, and flexibility.
  • Health, dental, and vision insurance.
  • Equity participation through an equity incentive plan.
  • 401(k) with company match, flexible vacation, and 11 paid company holidays.
  • Employer-paid short- and long-term disability and life insurance.
  • Home office support and ongoing professional development opportunities.

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