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3 часа назад

Data Engineer / AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
China
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 Engineer / AI Engineer (Databricks, Spark, Python, SQL): Building scalable data platforms, enterprise pipelines, machine learning models, and Generative AI solutions for logistics and supply chain digital transformation with an accent on data quality, analytics, and workflow automation. Focus on integrating SAP and Oracle data, deploying predictive and optimization models, and developing LLM-, AI-agent-, and Copilot-enabled decision support.

Location: Shanghai, China — onsite at the hirify.global Minhang Office

Company

hirify.global develops Flash memory and advanced memory technology solutions for global digital infrastructure, manufacturing, and supply chains.

What you will do

  • Design and develop scalable data pipelines with Databricks, Apache Spark, Python, and SQL.
  • Integrate data from SAP, Oracle, and other enterprise business systems.
  • Build and maintain data models, data platforms, analytics datasets, dashboards, and reports.
  • Ensure data quality, reliability, and performance while supporting KPI tracking and operational monitoring.
  • Develop and deploy machine learning, Generative AI, LLM, AI-agent, and Copilot solutions for prediction, optimization, automation, and decision support.
  • Collaborate with business and IT stakeholders to translate business problems into scalable data and AI products.

Requirements

  • Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or a related field.
  • 3–5 years of experience in Data Engineering, Analytics, or AI/ML development.
  • Hands-on experience with Databricks, Apache Spark, Python, SQL, data modeling, enterprise data pipelines, and data platforms.
  • Experience developing and deploying machine learning solutions.
  • Basic knowledge of Generative AI, LLMs, AI agents, or Copilot technologies.
  • Strong communication skills and the ability to work in a global environment.

Nice to have

  • Experience with SAP, Oracle, Azure, or supply chain and logistics systems.
  • Experience in logistics, supply chain, procurement, or manufacturing.
  • Knowledge of machine learning operations and AI solution deployment.

Culture & Benefits

  • Full-time exempt employment.
  • Work with business and IT teams on logistics and supply chain digital transformation.
  • Contribute to advanced data, machine learning, and Generative AI initiatives within a global organization.

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