College Intern - Machine Learning and Artificial Intelligence
Hp
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This role on the market
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What intelligence roles keep asking for: Python (28%), SQL (28%), AWS (19%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%) — counted across their open postings here.
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Preparing for this interview
Interviews for intelligence roles keep coming back to Python, SQL, AWS, Tableau. Practise those questions before you sit with Hp.
Questions you are likely to be asked
- Why do you want to join Hp?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the College Intern - Machine Learning and Artificial Intelligence at Hp interview free →College Intern - Machine Learning and Artificial Intelligence Description - What a College Intern - Machine Learning and Artificial Intelligence does at HP: This project aims to develop a system using machine learning (ML) and artificial intelligence (AI) to analyze printed images (documents, mixed graphics, photo, etc), focusing on object recognition and anomaly detection (print artifacts, design flaws) and potential root cause analysis to meet various customer segments. Develop cutting-edge models for object detection Implement robust anomaly detection for spotting print artifacts, misprints, distortions and design flaws, with potential root cause analysis. Create a user-friendly interface for image upload, analysis and dashboarding. Key Deliverables and Success Criteria: Annotated dataset of print images. Trained machine learning models for object detection, anomaly detection and potential root cause analysis. Create working prototype or application for uploading, analyzing print images and results dashboarding. Documentation and performance evaluation report with the results and analysis of the model. Accurate object detection, anomaly identification and root cause analysis system from variety of printed images for various customer segments. An intuitive and easy to use system that performs efficiently for processing large volumes of images with comprehensive dashboarding. Individuals who do well in this role at HP, usually possess: Undergraduate in Computer Science, Artificial Intelligence or related studies. Able to commit for a 5-6 months full time internship, starting in January 2027. Familiarity with Machine Learning, Root Cause Analysis, Dashboarding. Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere. HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore. #Li-Post Job - Administration Schedule - Part time Shift - No shift premium (Singapore) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
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Listed on workday · posted 2026-09-22. ApplySarthi collects openings and links to application pages; the role is advertised by Hp, not by us.