Mfg Integrator Automation Intern

Lam Research; Selangor; On-site; MYR 60,000 - 90,000; Full time

Job summary

Lam Research in Malaysia seeks a data analytics engineer to develop automation solutions and support decision making through data insights. You will work on UAT, documentation, and user trainings, and contribute to system sustaining and continuous improvement.

The role supports hybrid work arrangements with on-site collaboration and remote work options across Lam's global operations, requiring a solid foundation in Python, SQL, ML, and Power BI.

Qualifications

• Bachelor Degree in Engineering/Computer Science or equivalent.
• Proficiency in Python and SQL.
• Hands-on experience with Machine Learning techniques and frameworks.
• Use computer-based data systems and Power BI.

Responsibilities

• Assist in development of automation solutions to support data analytics and decision making.
• Responsible to conduct UAT, documentation and provide trainings to end users.
• Perform system sustaining and continuous improvement.
• Perform any other tasks and duties as required.

Skills

Python

SQL

Machine Learning

Power BI

Education

Bachelor's degree in Engineering/Computer Science

Tools

Database setup

SQL Server

Job description

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

What You’ll Do

• Assist in development of automation solutions to support and enhance the data analytics and decision makings.
• Responsible to conduct UAT, documentation and provide trainings to end users.
• Perform system sustaining and continuous improvement.
• Perform any other tasks and duties as required.

Who We’re Looking For

• Bachelor Degree in Engineering/Computer Science or equivalent
• Programming Language: Python, SQL
• Hands-on experience with Machine Learning techniques and frameworks.
• Use computer-based data systems, applications, and Office software (e.g. Microsoft Business Intelligent) and Power BI
• Preferably to have experience in setup database/server

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on‑site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On‑site Flex and Virtual Flex. ‘On‑site Flex’ you’ll work 3+ days per week on‑site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1‑2 days per week on‑site at a Lam or customer/supplier location, and remotely the rest of the time.