Senior AI Engineer - Manufacturing Analytics & Automation

Applied Materials South East Asia; Singapore; On-site; SGD 180,000 - 320,000; Full time

Job summary

Applied Materials Singapore is seeking a senior data scientist/leader to architect and scale manufacturing data ecosystems and drive AI‑driven analytics across plant, supply chain, and engineering domains.

You will lead cross‑functional teams, apply ML and AI techniques, design scalable data models, and translate insights into measurable improvements in yield, throughput, and cycle time for semiconductor manufacturing.

Qualifications

• 10+ years of experience in agent‑based systems, AI orchestration frameworks, and workflow automation.
• Expertise in advanced analytics, AI/ML, and industrial data systems.

Responsibilities

• Architect and scale manufacturing data ecosystems by ingesting, consolidating, and analyzing data from plant, supply chain, and engineering sources.
• Lead analytics and modeling initiatives using statistical, ML, and data mining techniques to optimize yield and predict maintenance.
• Build autonomous, AI-powered pipelines for data ingestion, feature engineering, model execution, and decision making at scale.
• Define data architecture including data acquisition strategies, semantic layers, and scalable data models for real‑time analytics and digital twins.
• Translate data into actionable outcomes by partnering with manufacturing operations, supply chain, and product engineering to define KPIs and drive improvements.
• Design production‑grade analytics solutions leveraging SQL, Python, and modern data platforms for large industrial datasets.
• Collaborate with product, engineering, and operations to frame hypotheses, run experiments, and uncover deeper correlations.
• Communicate insights to senior leadership with clear narratives and visualizations to influence strategy.

Skills

Advanced analytics

AI/ML

Data architecture

Industrial data systems

Cross-domain knowledge

Tools

SQL

Python

R

Job description

Applied Materials Singapore is seeking a senior data scientist/leader to architect and scale manufacturing data ecosystems and drive AI‑driven analytics across plant, supply chain, and engineering domains.

You will lead cross‑functional teams, apply ML and AI techniques, design scalable data models, and translate insights into measurable improvements in yield, throughput, and cycle time for semiconductor manufacturing.