INTERNSHIP (INFORMATION TECHNOLOGY & COMMUNICATION)

We are looking for an Internship Student specializing in Artificial Intelligence (AI) to support AI-related initiatives in a manufacturing (factory) environment. The intern will be exposed to real operational data and business processes, with a focus on data analysis and AI-driven improvement initiatives.

The internship project scope will be flexible and determined based on feasibility, data availability, and discussions with relevant stakeholders.

Responsibilities

● Assist in data collection, data checking, and basic data analysis related to

manufacturing operations

● Support AI-related initiatives such as predictive analysis, trend analysis, or process

improvement

● Assist in understanding machine, maintenance, or operational data

● Support testing, validation, and documentation of AI-related outputs

● Prepare basic reports and presentations on findings and analysis

● Work closely with IT, maintenance, and production teams

Job Requirements

● Currently pursuing Diploma / Degree in Artificial Intelligence, Data Science,

Computer Science, Engineering, or related field

● Basic understanding of AI / Machine Learning concepts (e.g. prediction, classification,

anomaly detection)

● Able to understand and work with coding/programming

● Basic knowledge of data analysis or statistics is an advantage

● Interest in manufacturing / factory environment

● Good analytical and problem-solving skills

● Willing to learn and able to work independently as well as in a team

Internship Duration

6 months

Project Scope

The project title and scope will be finalized later, based on discussions between the company, university, and intern, as well as operational needs and data availability.

The project will generally relate to AI or data analysis applications in a manufacturing environment, with possible exposure to predictive maintenance or process optimization concepts.

Learning Exposure

● Real-world exposure to manufacturing operations and data

● Hands-on experience supporting AI-related initiatives

● Collaboration with IT, maintenance, and production teams

● Practical understanding of how AI can be applied in an industrial environment