Industrial AI Engineer IV — Data, ML & Automation

LAM RESEARCH Corporation; Batu Kawan; Hybrid; MYR 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model

On-site Flex

Virtual Flex

Job summary

The Global Operations Group at Lam Research Corporation is seeking an experienced AI/ML professional to design, build, and deploy models that address business challenges. You will analyze large data sets, create data pipelines, and partner with marketing, design, and engineering to implement AI-driven improvements across manufacturing and operations.

Candidates should have 8+ years in related fields and strong skills in Python, SQL, and ML frameworks, with a track record of deploying AI

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Industrial Engineering or related field.
• Experience with Python, SQL and machine learning frameworks.
• Knowledge of data analytics, statistics and AI model deployment.
• Strong problem-solving and communication skills.

Responsibilities

• Develop and deploy AI/ML models to solve business problems.
• Analyse large datasets and generate actionable insights.
• Build data pipelines and automation solutions.
• Work with cross-functional teams to identify AI opportunities.
• Monitor model performance and drive continuous improvement.
• Present findings and recommendations to stakeholders.

Skills

Python

SQL

Machine learning frameworks

Data analytics

Statistics

AI model deployment

Problem solving & communication

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Industrial/Manufacturing Engineering

Tools

Copilot

Azure AI

MLOps

Job description

The Global Operations Group at Lam Research Corporation is seeking an experienced AI/ML professional to design, build, and deploy models that address business challenges. You will analyze large data sets, create data pipelines, and partner with marketing, design, and engineering to implement AI-driven improvements across manufacturing and operations.

Candidates should have 8+ years in related fields and strong skills in Python, SQL, and ML frameworks, with a track record of deploying AI