1 день назад
AI Engineer (Manufacturing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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