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1 день назад

AI Engineer (Manufacturing)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Релокация
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
AI Engineer (Manufacturing): Architecting scalable manufacturing data ecosystems and production-grade AI solutions for yield optimization, predictive maintenance, digital twins, and operational decision-making with an accent on agentic workflows, industrial data architecture, and advanced analytics. Focus on building autonomous AI-powered pipelines, integrating models with decision logic, solving ambiguous manufacturing problems, and influencing strategic analytics programs.

Location: Singapore, SGP. Relocation eligible. Travel required up to 10% of the time.

Company

hirify.global develops materials science and engineering solutions and equipment used in semiconductor manufacturing and advanced displays.

What you will do

  • Architect and scale data ecosystems that ingest, consolidate, and analyze structured and unstructured manufacturing, supply chain, and engineering data.
  • Lead advanced analytics and machine learning initiatives for yield optimization, predictive maintenance, constraint resolution, and other complex manufacturing challenges.
  • Build autonomous AI-powered pipelines that orchestrate data ingestion, feature engineering, model execution, and decision-making.
  • Define data acquisition strategies, semantic layers, and scalable data models for real-time analytics, digital twins, and AI-driven manufacturing.
  • Develop production-grade algorithms, models, and automation pipelines using SQL, Python, R, and modern data platforms.
  • Partner with operations, supply chain, product engineering, and senior leadership to define KPIs, communicate insights, and operationalize recommendations.

Requirements

  • 10+ years of experience with agent-based systems, AI orchestration frameworks, and workflow automation.
  • Deep expertise in manufacturing data science, advanced analytics, AI/ML, and industrial data systems.
  • Experience with Python, R, SQL, statistical modeling, data mining, and large-scale industrial datasets.
  • Ability to design end-to-end intelligent systems integrating data, models, and decision logic into automated workflows.
  • Strong knowledge of manufacturing, supply chain, quality, and engineering domains.
  • Ability to communicate complex technical concepts to senior stakeholders and lead multidisciplinary teams.

Culture & Benefits

  • Supportive work culture focused on learning, development, and career growth.
  • Health and wellbeing programs supporting employees at work and at home.
  • Opportunity to contribute to semiconductor and advanced display technology.
  • Regular travel of approximately 10% is part of the role.

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