Total 4 Internship quality assurance engineer job vacancies in Singapore, -

Supplier Scouting (20%)
- Support potential supplier scanning.
- Support project documentation and presentation.
- Liaise with various departments/divisions on information gathering.
- Research of free trade agreements within ASEAN.

System Data & Contracts Maintenance (30%)
- Support in ensuring data quality on various purchasing tools.
- Prepare contract documents with suppliers and route for signatures.

Purchasing Support (20%)
- Provide support to other business functions with regards to enquiries about pricing, master data 
maintenance.
- Ensure documents / approvals are in place for Mitigation checks.
- Preparation and sending of mass communications to suppliers.

Purchasing Quality (30%)
- Support team members in the ISIR by checking documents for accuracy and requesting technical 
information (test reports, drawings) from suppliers.
- Create and implement Engineering Change Notifications for the ASEAN region to approve changes of 
products, manufacturing processes, materials or packaging.
- Support in releasing new products and maintaining related internal processes and systems.
- Assist investigations of customer complaints.
- Update system for certificates, audit reports, etc.
- Assist problem solving with suppliers.

We are offering an internship in the quality management department of the Bosch Mobility Aftermarket Asia Pacific (APAC) region based in Singapore office. Our focus is to support business and product strategies in terms of quality management for products and processes to continuously grow our automotive aftermarket business in APAC. We are looking for enthusiastic and dynamic candidates to join us for internship of 6 months.


Support our team in digitalization initiatives

• Image Classification: Assist in developing and implementing AI models for classifying customer-submitted photos to support blocked stock decision making.
• Data Collection and Preprocessing: Help gather and preprocess image data for training and validating AI models. 
• Model Training Support: Support the training of AI models using machine learning frameworks and assist in optimizing them for better performance.
• Performance Monitoring: Monitor the performance of AI models and report findings to the team for further improvements.
• Documentation: Document the processes and results of image classification tasks and contribute to project reports.
• Collaboration: Work closely with team members to ensure the AI solution aligns with project goals.

Support our team in operational tasks

• Monthly Key Performance Index updating.
• Support in maintaining related internal processes and systems.
• Support in Digitalization activities, dashboards, reporting and any other ad-hoc tasks.

As an AI research engineer, the candidate will work on an automatic disassembly for EoL waste management. The candidate will assist in:

• Research and evaluate state-of-the-art open and closed-source LLM models and Retrieval-Augmented Generation (RAG) techniques
• Process unstructured technical documents from automotive and EV products to extract relevant text and images using multi-modal LLM
• Assist in developing and refining LLM and RAG models to improve performance, accuracy, and efficiency.
• Collaborate with the team to integrate AI models into broader systems or applications, considering scalability and deployment strategies.
• Document findings, methodologies, and outcomes, contributing to internal reports and potentially patent applications.
• Engage in team meetings and contribute to brainstorming sessions aimed at driving project success.

As a robotics research engineer, the candidate will work on developing a new testbed towards automation autonomous disassembly process in e-waste management. The candidate will assist in:

• Development of the testbed to integrate sensors, robots, conveyor belts, workbench, controllers, etc.
• Programing and integrating industrial robots to perform tasks such as pick-n-drop and execution of disassembly action.
• Development and maintenance of prototype applications based on controllers such as Raspberry Pi and Arduino
• Improving trajectory planning algorithms to ensure high throughput of operations such as pick-n-drop
• Developing automated robot trajectory planning for robotic 3D scanning and disassembly, and automated generation and execution of disassembly actions.
• Closely communicate with other teams and presentation slides