AI/ML-Driven Packaging Engineer

Sandisk

Batu Kawan

On-site

MYR 90,000 - 150,000

Full time

14 days+

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Job summary

Sandisk in Malaysia is seeking a data scientist/engineer to integrate assembly/test data pipelines, analyze process data, and develop new production processes for NPIs, with transfer to high-volume manufacturing.

You will optimize manufacturing processes to improve efficiency and product quality, lead Six Sigma and Lean improvements, design experiments, and build factory automation applications while querying Oracle SQL and Microsoft SQL Server for data access and reporting.

Qualifications

  • Experience applying data analytics to manufacturing processes.
  • Experience with data pipelines and process data in industrial settings.
  • Familiarity with Six Sigma and Lean methodologies.

Responsibilities

  • Integrate assembly/test data pipeline, analyze and transform process data.
  • Develop new process for NPI, transfer to HVM without major quality issues.
  • Analyze and optimize existing manufacturing processes to enhance efficiency and product quality.
  • Develop and implement process improvement initiatives using Six Sigma and Lean.
  • Design and conduct experiments to troubleshoot process issues and validate improvements.
  • Develop and maintain factory automation applications with modern frontend tools.
  • Develop and optimize Oracle SQL and Microsoft SQL Server queries for data access and reporting.
  • Integrate factory systems and manufacturing equipment via web services, API calls, or SECS/GEM communication protocols.
  • Collaborate closely with process, equipment, factory automation and IT teams to deliver robust and efficient automation, machine learning and AI solutions.

Skills

Analytical thinking
Problem-solving
Teamwork
Communication
Self-motivation
Multitasking

Education

Bachelor’s or Master’s degree in a related technical field

Tools

Python
SQL
R
JMP
Machine Learning
Oracle SQL
Microsoft SQL Server
SECS/GEM
API integration

Job description

Sandisk in Malaysia is seeking a data scientist/engineer to integrate assembly/test data pipelines, analyze process data, and develop new production processes for NPIs, with transfer to high-volume manufacturing.

You will optimize manufacturing processes to improve efficiency and product quality, lead Six Sigma and Lean improvements, design experiments, and build factory automation applications while querying Oracle SQL and Microsoft SQL Server for data access and reporting.

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