Current Education: Currently pursuing a Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field.
R&D Interest: A strong desire to learn and contribute to cutting-edge Research & Development, demonstrated through relevant academic projects, competitions, or personal portfolios in IoT or AI.
Hardware: Proficiency in PCB design software (e.g., Altium, AutoCAD) and experience with soldering and circuit board troubleshooting.
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Candidate must possess at least a Bachelor’s Degree / Post Graduate Diploma / Professional Degree in Engineering (IT / Telecommunication) or equivalent
Our preference is for interns who can start in Oct/Nov and commit to at least 6 months, to fully benefit from the internship experience
To speed up the shortlisting process, please let us know your internship start and end dates when you apply. It really helps us review applications quicker!
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Testing concepts: Basic understanding of Software Development Life Cycle (SDLC) and testing types (manual, functional, regression, and UI testing).
Tools & tracking: Familiarity with bug-tracking and project management tools like Atlassian Jira or TestRail.
Scripting/Coding: Basic knowledge of programming or scripting languages (such as JavaScript, Python, or Java) and automated testing frameworks (like Selenium) is a strong advantage.
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Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Business Analytics, Statistics, Mathematics, Human Computer Interactive (HCI) or a related field.
Must have 3+ years' experience in MS SSIS as ETL/ data pipeline development platform
Good to have 5+ years of working in data warehouse project implementation or support and maintenance involvement.
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A Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a closely related field is required; this technical background is necessary for the role.
3+ years of experience in technical/application support, with demonstrated hands-on issue resolution, not just ticket triage.
Ability to read and understand code (e.g., Java, Node.js, SQL) well enough to identify bugs, trace logic, and make small, safe fixes.
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Currently pursuing or recently completed a Diploma or Degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field.
Basic knowledge of web development, mobile app development, or software engineering principles.
Exposure to AI, machine learning, automation, or AI-assisted coding tools is an advantage.
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