Universiti Tunku Abdul Rahman
fict-2026-jan - Internship Advertisement
Company Registration No: 302251-K
Company Name: Intel Microelectronics (M) Sdn. Bhd.
Company Overview
Company Overview
Intel Malaysia is Intel’s first offshore site, outside the United States. Established in 1972, it is a now a mini-Intel, a mega site covering a wide range of Intel's capabilities from manufacturing, design and development to sales and shared services. Today, there are 16 buildings, 3 hi-tech manufacturing factories, 1 advanced packaging factory under construction, and 11 labs spread across the Kulim and Penang campuses, with office space for over 11,000 Intel Malaysia employees.In terms of workplace philosophy, Intel Malaysia emphasizes creating a challenging and productive environment. The core values include being open and direct, working in teams with respect and trust, and recognizing employee accomplishments.
Job Description
About the Role
As an AI/ML Manufacturing Automation Intern, you will work
directly with our automation development team to support the development,
deployment, and documentation of automation and artificial intelligence
solutions in manufacturing environments. This is an excellent opportunity to
gain real-world experience in industrial AI applications while contributing to
meaningful projects that impact production efficiency and quality.
Responsibilities
Key Responsibilities
Solution Delivery Support
- Assist in the
development and testing of AI/ML models for manufacturing processes
- Support data collection,
preprocessing, and analysis
- Participate in solution
integration and deployment activities
Technical Support
- Help troubleshoot and
resolve issues with deployed AI/ML solutions
- Monitor system
performance and assist with optimization efforts
- Support user training
and knowledge transfer activities
- Assist with system
maintenance and updates
Documentation & Communication
- Create and maintain
technical documentation for AI/ML solutions
- Develop user guides,
process documentation, and training materials
- Assist in preparing
project reports and presentations
- Document best practices
and lessons learned
Requirements
Required Qualifications
Candidates should hold or currently in progress to complete
a Bachelor's or Master’s degree in computer science, Data Science, Computer
Engineering, or related fields.
Technical Skills
- Programming experience
in Python, R, or similar languages
- Basic understanding of
machine learning concepts and algorithms
- Familiarity with data
analysis and visualization tools
- Knowledge of databases
and data management principles
- Understanding of
software development lifecycle
Soft Skills
- Strong analytical and
problem-solving abilities
- Excellent written and
verbal communication skills
- Ability to work
collaboratively in a team environment
- Eagerness to learn and
adapt in a fast-paced environment
Preferred Qualifications
- Experience with
manufacturing processes or industrial automation
- Knowledge of AI/ML
frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with cloud
platforms (AWS, Azure, GCP)
- Experience with version
control systems (Git)
- Understanding of
statistical analysis and data mining techniques