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Western Digital July Onwards Intake Internship - Data Science 
Malaysia, Selangor 
187372963

27.04.2025
Company Description

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Assist engineer in analyzing large-scale structured and unstructured data; develop deep-dive analysis and machine learning / AI models into application or integrate with any pre-existing systems; demonstrate successful use cases and wins to drive business value.
  • Assist engineer in designing AR assets, coding, enhancing the User Interface & User Experience for end user, along with providing support and ongoing maintenance
  • Help engineer to create custom AR (Augmented Reality) experiences for enterprise use cases & setup virtual environments for a wide range of AR scenarios
  • Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.
  • Assist engineer in developing computer vision models for assembly machines
  • Assist engineer in analyzing large-scale structured and unstructured data; develop deep-dive analysis and machine learning / AI models into application or integrate with any pre-existing systems; demonstrate successful use cases and wins to drive business value
  • Assist engineer in building web application for CV model auto-training

REQUIRED

  • Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
  • Skills in Python, Machine Learning, Tensorflow framework, Augmented Reality, Computer Vision

PREFERRED

  • Chatbot (added advantage) with NLP, NLU

SKILLS

  • Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, Enterprise Miner, Enterprise Guide, SAS coding.
  • Ability to learn quickly and become productive on new technologies, APIs, development languages and frameworks.
  • Self-motivated, strong ownership and ability to work independently with minimal supervision