Total 47 Internship systems engineer job vacancies

My client:
My client is a global tech company with thousands of employees. They are looking for Frontend Engineers due to business expansion. This position focuses on large-scale user-facing and enterprise platforms. The team builds high-traffic products with real business impact in a fast-growing and engineering-driven environment.

Job Responsibilities:

• Develop and maintain scalable web applications
• Collaborate with backend, product, and design teams
• Optimize performance, usability, and system reliability
• Contribute to frontend architecture and best practices
• Troubleshoot and improve production systems

Job requirements:

• BS/MS degree in Computer Science or equivalent majors with experience in frontend development
• Good understanding of modern frontend architecture, React, TypeScript, JavaScript
• Commitment to producing high-quality, well-tested solutions
• Excellent problem-solving skill and the ability to work on complex technical challenges
• Good understanding of performance optimization and frontend architecture

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us:
Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

www.dadaconsultants.com
Business Registration Number: 201735941W.
Licence Number: 18S9037

Position Overview
We are looking for an AI Engineer Intern to support our object recognition initiative by building a high-quality computer vision dataset at scale (~1,000 physical objects).

This role focuses on data preparation, annotation, and quality assurance to ensure reliable model training and robust real-world performance (e.g., varying lighting, occlusion, motion blur, reflections). You will collaborate closely with AI engineers to define labeling standards, execute annotation efficiently, and continuously improve dataset quality through structured iteration.

Key Responsibilities

• Prepare and manage datasets: organize, clean, label, and maintain structure, metadata, and version tracking
• Ensure data quality: remove low-quality samples, handle edge cases (lighting, occlusion, blur, reflections), and support additional data collection
• Collaborate with AI engineers to iterate on datasets based on model performance and error analysis
• Support model evaluation: prepare test sets and review error patterns to improve data quality
• Build basic Python scripts for dataset validation and format conversion
• Gain exposure to training/evaluation workflows, real-world constraints (device performance, latency vs. accuracy), and cross-team collaboration (Data, AI, Game/Engine)