Senior AI/ML Productivity Engineer (On-site)

Lam Research Salzburg GmbH; Batu Kawan; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Remote work options

Job summary

Lam Research seeks a Productivity Engineer 4 to develop and deploy AI/ML models, analyze large datasets, and build data pipelines that improve manufacturing operations. You will collaborate with cross-functional teams to identify AI opportunities and ensure models meet performance targets.

The role emphasizes problem-solving, robust communication, and delivering actionable insights to accelerate Lam’s industrial innovations and efficiency across sites.

Qualifications

• Minimum of 8 years of related experience with a Bachelor's/Master's degree in Computer Science, Data Science, Industrial Engineer, Manufacturing 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

ML frameworks

Data analytics

Statistics

AI model deployment

Education

Bachelor's/Master's degree in CS/DS/IE

Tools

Azure AI

Copilot

MLOps

Job description

Lam Research seeks a Productivity Engineer 4 to develop and deploy AI/ML models, analyze large datasets, and build data pipelines that improve manufacturing operations. You will collaborate with cross-functional teams to identify AI opportunities and ensure models meet performance targets.

The role emphasizes problem-solving, robust communication, and delivering actionable insights to accelerate Lam’s industrial innovations and efficiency across sites.