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Our Strength Lies
in Our People
About the Role
We’re looking for a motivated intern to join our Vision AI team in building cutting-edge foundation models tailored to real-world industrial use cases. You will work alongside experienced engineers and researchers on projects involving data collection, model experimentation, and knowledge exploration—bringing in your fresh perspective and curiosity.
Internship Allowance - Provided
Key Responsibilities
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Curate and manage large-scale image datasets from various sources, ensuring accuracy and relevance.
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Conduct literature reviews and competitive landscape analysis on foundation models, dataset scaling, and self-supervised learning techniques.
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Support model pretraining experiments and benchmarking pipelines.
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Collaborate with the engineering team to maintain dataset infrastructure and optimize storage (e.g., NAS, cloud).
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Assist in documentation and internal knowledge-sharing sessions.
Preferred Qualifications
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Currently pursuing a Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
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Hands-on experience or familiarity with Python and libraries such as PyTorch, OpenCV, or scikit-image.
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Basic understanding of computer vision (e.g., CNNs, feature extraction, segmentation).
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Bonus: Experience working with datasets like ImageNet, COCO, or custom pipelines.
What You'll Gain
Real-world exposure to vision foundation models and experimental research workflows.-
Practical experience with data pipelines and ML model training processes.
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Mentorship and hands-on guidance from seasoned engineers.
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Opportunity to contribute meaningfully to high-impact AI projects.
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Internship allowance will be provided
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About the Role
You will support the assembly, installation, and testing of custom machines and vision systems by working closely with engineers and technicians. This role provides hands-on exposure to mechanical and electrical integration, machine building, and troubleshooting, making it an ideal opportunity to learn and contribute within a fast-paced engineering environment.
Internship Allowance - Provided
Key Responsibilities
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Assist in assembling and installing components for automation infrastructure supporting vision inspection systems.
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Support troubleshooting of basic mechanical and electrical issues during assembly and installation under supervision.
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Help perform technical checks and quality inspections to ensure systems meet required specifications.
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Assist in preparing design layouts, documentation, and updating schematics/blueprints for assembly processes.
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Work with engineers during product demonstrations, design reviews, and on-site installations.
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Learn and support tasks involving machine wiring, pneumatic routing, and cable trunking organization.
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Participate in basic machine testing to verify proper functionality.
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Help collect and document machine data needed for internal verification or customer buy-off.
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Support the project team during customer buy-off sessions and on-site installations as required.
Preferred Qualifications
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Currently pursuing or recently completed a diploma/degree in Mechanical, Electrical, or Mechatronics Engineering (or related field).
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Basic understanding of mechanical tools, electrical wiring, or assembly processes.
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Strong interest in automation, robotics, or vision system integration.
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Willingness to learn, adapt quickly, and follow technical instructions.
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Team player with attention to detail and safety practices.
What You'll Gain
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Practical experience in assembling and testing advanced machine vision systems.
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Exposure to both mechanical and electrical integration tasks in real-world engineering projects.
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Mentorship from experienced engineers and technicians.
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Opportunities to participate in site installations and customer buy-off sessions.
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A foundation for pursuing a career in automation, robotics, or engineering design.
-
About the Role
You will support the assembly, installation, and testing of custom machines and vision systems by working closely with engineers and technicians. This role provides hands-on exposure to mechanical and electrical integration, machine building, and troubleshooting, making it an ideal opportunity to learn and contribute within a fast-paced engineering environment.
Internship Allowance - Provided
Key Responsibilities
-
Assist in assembling custom machines and vision systems based on engineering drawings and BOMs (Bill of Materials).
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Help install and align mechanical components such as actuators, cylinders, gears, and linear rails.
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Work alongside engineers and technicians to ensure correct fit and functionality of mechanical parts.
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Support basic mechanical tasks such as fitting, tapping, drilling, and light machining under supervision.
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Participate in building sub-assemblies and full systems with attention to precision and detail.
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Help identify and troubleshoot mechanical issues during the build process.
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Assist the electrical and controls teams with mechanical integration and component mounting.
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Maintain cleanliness and organization of tools, parts, and workstations.
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Follow all safety procedures, SOPs (Standard Operating Procedures), and quality guidelines.
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Join site installations when required and assist with on-site mechanical adjustments.
Preferred Qualifications
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Currently pursuing or recently completed a diploma/degree in Mechanical, Electrical, or Mechatronics Engineering (or related field).
-
Basic understanding of mechanical tools, electrical wiring, or assembly processes.
-
Strong interest in automation, robotics, or vision system integration.
-
Willingness to learn, adapt quickly, and follow technical instructions.
-
Team player with attention to detail and safety practices.
What You'll Gain
-
Practical experience in assembling and testing advanced machine vision systems.
-
Exposure to both mechanical and electrical integration tasks in real-world engineering projects.
-
Mentorship from experienced engineers and technicians.
-
Opportunities to participate in site installations and customer buy-off sessions.
-
A foundation for pursuing a career in automation, robotics, or engineering design.
-