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Lead Data Scientist (Gen AI)

128 470 - 208 770$
Формат работы
onsite
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

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TL;DR

Lead Data Scientist (Gen AI): Developing and integrating digital twins for condition monitoring and generative AI-assisted predictive analytics with an accent on high-frequency sensor data and edge-case mechanical failure simulation. Focus on designing GPU-accelerated machine learning models and automated diagnostic workflows to optimize heavy machinery performance.

Location: Must be based in or able to work from Chicago, IL or Peoria, IL, USA

Salary: $128,470 - $208,770

Company

A global leader in the manufacturing of construction and mining equipment, engines, and industrial gas turbines.

What you will do

  • Design and implement GPU-accelerated machine learning models for anomaly detection in high-frequency sensor data.
  • Partner with engineering teams to develop onboard digital twins using NVIDIA architecture for heavy machinery.
  • Develop Generative AI agents to synthesize telematics data and generate prioritized repair workflows.
  • Collaborate on hardware-software co-design to ensure algorithm compatibility with next-generation onboard compute modules.
  • Lead complex projects and provide status updates to sponsors and stakeholders.
  • Integrate multi-modal outputs to create machine-specific context for AI-assisted diagnostics.

Requirements

  • Must be authorized to work in the USA (Visa sponsorship is not available)
  • Extensive experience (8+ years) in advanced data analysis and machine learning.
  • Proficiency in Generative AI, LLMs, RAG, and prompt engineering.
  • Deep understanding of anomaly detection, time-series analysis, and predictive maintenance.
  • Extensive experience with Python programming (NumPy, SciPy, pandas).
  • Experience handling high-frequency IoT sensor data and CAN bus protocols.

Nice to have

  • Experience with cloud technologies (AWS, Azure, Google Cloud).
  • Practical experience with onboard architecture (e.g., Raspberry Pi).
  • Working knowledge of heavy equipment engineering.
  • Experience operating in an Agile environment.

Culture & Benefits

  • Comprehensive medical, dental, and vision benefits.
  • 401(k) savings plans with company match.
  • Paid time off including vacation, holidays, and volunteer days.
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSAs).
  • Tuition reimbursement and career development opportunities.
  • Inclusive global work environment focused on sustainable innovation.

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