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Job Description

Company Description

Pericom Imaging Group, headquartered in Singapore since 2000, provides cutting-edge technology solutions in Enterprise Data Capturing, Artificial Intelligence, and Natural Language Processing integrated into Enterprise Content Management and Business Process Management platforms. Operating across Asia, including Malaysia, Thailand, Indonesia, and India, Pericom serves multinational banks, insurance companies, hospitals, and government entities. The company offers end-to-end solutions combining software and hardware for efficient document scanning and data capturing processes. Known for its dedicated customer support, Pericom has built lasting relationships with its clients in the region, ensuring seamless workflows and process optimization.

Role Description

This is a full-time, on-site AI Engineer Internship role located in Shah Alam. The intern will assist in designing, developing, and implementing machine learning models, focusing on pattern recognition, neural networks, and natural language processing (NLP) applications. Responsibilities include supporting the development of software tools, conducting experiments, analyzing data, and contributing to innovative AI-driven solutions for enterprise customers. Interns will also collaborate closely with cross-functional teams to ensure projects align with company objectives.

Qualifications
  • Strong foundational knowledge in Computer Science and Software Development
  • Familiarity with Pattern Recognition and Neural Networks
  • Experience or interest in Natural Language Processing (NLP)
  • Strong problem-solving skills and a passion for Artificial Intelligence
  • Ability to work collaboratively in a team-oriented environment
  • Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field
  • Proficiency in programming languages such as Python or Java is an advantage
  • Understanding of machine learning frameworks and libraries like TensorFlow or PyTorch is a plus

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About Company

Job ID: 144152965