Senior AI/ML Productivity Engineer (Hybrid)

LAM RESEARCH Corporation

Simpang Ampat

Hybrid

MYR 120,000 - 180,000

Full time

2 days ago
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Job summary

Lam Research Corporation is seeking an experienced AI/ML expert to join its Global Operations Group. The role involves designing concepts and specifications to optimize hardware product design, collaborating with marketing and design teams, and producing detailed production requirements for internal and external manufacturing groups.

You will develop and deploy AI/ML models, analyze large datasets, and build robust data pipelines while working with cross-functional teams to identify

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
Machine Learning

Education

Bachelor's or Master's in Computer Science or Data Science or Industrial/Manufacturing Engineering

Tools

ML Frameworks

Job description

Lam Research Corporation is seeking an experienced AI/ML expert to join its Global Operations Group. The role involves designing concepts and specifications to optimize hardware product design, collaborating with marketing and design teams, and producing detailed production requirements for internal and external manufacturing groups.

You will develop and deploy AI/ML models, analyze large datasets, and build robust data pipelines while working with cross-functional teams to identify

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