Mfg Integrator Automation Intern

LAM RESEARCH Corporation

Simpang Ampat

On-site

MYR 60,000 - 120,000

Full time

14 days+

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Job summary

Lam Research in Malaysia is seeking a talented data analytics automation engineer to help develop automation solutions that enhance analytics and decision making. You will participate in UAT, create documentation, and train end users to ensure smooth adoption.

You will also sustain systems and drive continuous improvement while contributing to ad hoc tasks required by the team. Hybrid work options are available across on-site and remote settings.

Qualifications

  • Bachelor's degree in engineering or computer science or equivalent.
  • Proficient in Python and SQL.
  • Hands-on experience with machine learning techniques and frameworks.
  • Experience using data systems, BI tools and Power BI.

Responsibilities

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

Skills

Python
SQL
Machine Learning

Education

Bachelor Degree in Engineering/Computer Science or equivalent

Tools

Microsoft Power BI
Database setup
Server setup

Job description

The group you’ll be a part of

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
Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

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.

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