Intern - AI Information Technology (Studying Master's and Bachelor Degree)

Job description

ESSENTIAL DUTIES

AND RESPONSIBILITIES: Analysis, conceptualization, and design of AI driven systems targeting manufacturing processes and application error logs.

• Write the calculations and base codes based on the design and data validations
• Prepare documentations and progress reporting and/or dashboards, technical summaries and presentations of finding
• Provide regular update to the hiring manager on activities or deliverables.
• Assist in the analysis of engineering and manufacturing data to identify improvement opportunities
• Support process monitoring and optimization
• Work with engineers on tests and technical evaluations
• Participate in problem-solving and root cause analysis activities
• Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD.

Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Qualifications

REQUIRED

Currently pursuing a Master's Degree or A Bachelor's Degree in AI and Automation, Computer Engineering, Computer Science, or equivalent Demonstrable proficiency in utilizing Microsoft Visual Studio C#/C++ and other languages such as Python or Java. Understanding of software development lifecycle (SDLC) and version control systems (e.g., Git). Ability to work with large datasets and technical information - Detail-oriented with a structured and organized approach to tasks Able to work both independently and collaboratively in a team environment.

PREFERRED

Basic knowledge of statistical process control, manufacturing processes, and the use of AI in manufacturing. Experience with web technologies (HTML, CSS, JavaScript) or API development. A comprehensive understanding of industry-standard best practices in business analysis and related fields is highly desirable. Hands-on experience with real engineering and data analysis projects.

SKILLS

Strong analytical thinking, attention to detail, and ability to work collaboratively in a team environment. Exceptional ability to produce clear, concise, and professional documentation, including requirements documents, design specifications, test plans, and end-user manuals. Strong communication skills in English, with the capacity to effectively present requirements, designs, test plans, and project status updates to both peers and management.

Strong in Full Stack development, React, Tensorflow, Machine Learning, C++/C#, Python or R, Agentic AI, MQ technologies, MSSQL / PLSQL, PostgreSQL. Familiarity with Artificial Intelligence concepts and emerging technologies is considered a significant asset for this role. Strong analytical and problem-solving skills Strong written and verbal communication skills in English