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19 часов назад

Engineer, Supplier Quality Engineering – Strategic & Innovation (AI & Data Analytics)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Thailand
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
Engineer, Supplier Quality Engineering – Strategic & Innovation (AI & Data Analytics) (Python/SQL/Power BI): Transforming supplier quality management through data analytics, digital dashboards, automated reporting, and predictive quality with an accent on data pipelines, Industry 4.0, and supplier collaboration. Focus on collecting and visualizing quality data, developing automation and AI-enabled decision-making tools, and supporting digital adoption across supplier workshops.

Location: BangPa-In Building 3, BangPa-in, Phra Nakhon Si Ayutthaya, Thailand; onsite

Company

hirify.global develops large-scale data storage infrastructure for AI-driven data centers, cloud platforms, and enterprise systems.

What you will do

  • Transform supplier quality management through engineering, quality systems, analytics, and digital tools.
  • Collect, analyze, transform, and visualize supplier quality data using Python, SQL, Power BI, or equivalent tools.
  • Develop and maintain data pipelines, digital dashboards, automated reports, and decision-support tools.
  • Support supplier quality automation, Industry 4.0 initiatives, predictive quality, and data-driven improvement.
  • Collaborate with cross-functional teams and suppliers through workshops and digital adoption training.

Requirements

  • Fresh graduate or Early Career Talent with 0–2 years of experience.
  • Bachelor’s degree in Data Science, Computer Science, Computer or Software Engineering, Electrical or Electronics Engineering, Mechanical Engineering, or an equivalent field.
  • Experience or familiarity with data analytics tools and exposure to Six Sigma tools.
  • Good English communication skills, verbal and written.
  • Knowledge of data engineering, ETL/ELT processes, data pipelines, machine learning, and deep learning.
  • Basic knowledge of web applications, REST APIs, and backend development.

Nice to have

  • Strong Python and SQL skills, including database concepts, data modeling, querying, and transformation.
  • Experience with Pandas, NumPy, and Scikit-learn.
  • Knowledge of Generative AI, LLMs, RAG, AI agent development, automated workforce projects, or digital transformation.
  • Internship experience in manufacturing, process improvement, or digital transformation.

Culture & Benefits

  • Structured Early Career onboarding, mentorship, foundational training, and development curriculum.
  • Cross-functional and supplier-facing work in a global manufacturing environment.
  • Inclusive workplace focused on diversity, belonging, respect, and contribution.
  • Accessibility support is available throughout the application and hiring process.

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