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14 часов назад

Data Scientist (AI/ML)

Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Singapore/Malaysia
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
Data Scientist (AI/ML) (Semiconductor Manufacturing): Applying statistical analysis, machine learning, and Generative AI to large-scale wafer sort, final test, and inline process data with an accent on engineering analytics, automation, and decision support. Focus on building scalable data pipelines and model workflows, developing LLM-assisted solutions, and communicating AI-driven insights through dashboards and visualizations.

Location: Kuala Lumpur, Malaysia

Company

hirify.global develops semiconductor technologies and engineering solutions.

What you will do

  • Apply statistical analysis and machine learning techniques to wafer sort, final test, and inline process data.
  • Explore and develop AI/ML and Generative AI use cases, including LLM-assisted analytics and automation.
  • Build dashboards and visualizations that communicate AI-driven insights to engineering teams.
  • Automate data pipelines, model workflows, and reporting.
  • Use cloud platforms and CPU/GPU compute for scalable data processing and model training.

Requirements

  • Bachelor’s or master’s degree in data science, engineering, computer science, statistics, or a related field.
  • 1–2 years of applied experience in data science, machine learning, or AI-driven projects.
  • Strong foundation in machine learning, statistics, and data analysis.
  • Proficiency in Python or R, including pandas, NumPy, and scikit-learn.
  • Working knowledge of SQL and large datasets.
  • Familiarity with Generative AI concepts, LLMs, or prompt-based workflows.

Nice to have

  • Exposure to cloud platforms such as AWS or Azure and big data tools.

Culture & Benefits

  • Collaboration with semiconductor engineering teams.
  • Opportunity to apply AI/ML and Generative AI to manufacturing and test data.
  • Work involving scalable cloud and CPU/GPU-based data processing and model training.

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