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3 дня назад

Data Scientist - Agentic AI / ML (AI)

170 000 - 234 000$
Формат работы
onsite
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

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TL;DR
Data Scientist - Agentic AI / ML (AI): Developing end-to-end AI and machine learning solutions for semiconductor supply chain and service operations with an accent on agentic AI, LLM applications, forecasting, and production deployment. Focus on building GenAI agents and RAG systems, fine-tuning models, designing plugin-based architectures, and improving forecast accuracy through advanced analytics.

Location: Santa Clara, CA; on-site full-time

Salary: $170,000–$234,000 per year

Company

hirify.global develops materials science and engineering solutions and semiconductor manufacturing equipment for advanced chips and displays.

What you will do

  • Develop analytical models, machine learning algorithms, and automated processes from research through production deployment.
  • Build GenAI and LLM applications, including fine-tuned models, agents, reasoning workflows, embedding-based search, and RAG systems.
  • Design GenAI architectures for plugin-based solutions and custom applications in collaboration with stakeholders.
  • Apply data mining, machine learning, and forecasting to material demand, service parts, pattern recognition, and supply chain operations.
  • Partner with planning, operations, inventory, production, engineering, and service teams to identify business drivers and improve forecast accuracy.
  • Translate complex analysis into actionable insights and KPIs for business and executive stakeholders.

Requirements

  • Advanced degree such as an MS or PhD in statistics, computer science, economics, operations research, or another quantitative field.
  • 3–5 years of industry experience in applied machine learning or related AI work.
  • Hands-on experience building GenAI applications and understanding large language model architecture and operation.
  • Experience with PyTorch, JAX, or TensorFlow, as well as Python, SQL, scikit-learn, and forecasting libraries.
  • Experience with MLOps, including production model deployment, versioning, and performance monitoring.
  • Strong analytical, problem-solving, communication, storytelling, and cross-functional collaboration skills.

Culture & Benefits

  • Supportive environment focused on learning, development, and career growth.
  • Comprehensive employee benefits supporting health and wellbeing.
  • Potential eligibility for bonus and stock award programs.
  • Travel required approximately 10% of the time.
  • Relocation eligible.

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