[Bosch R&D - Internship] AI Engineer Intern at Bosch Group

Ho Chi Minh City, Ho Chi Minh, Vietnam -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, TensorFlow, PyTorch, Scikit-Learn, OpenCV, Hugging Face, APIs, Cloud Platforms, Git, Containerization, Deployment, Agile Practices, CI/CD, Problem-Solving, Communication, Collaboration

Industry

Software Development

Description

Company Description Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering R&D center (Robert Bosch Engineering and Business Solutions Vietnam Co., Ltd). In July 2014, Bosch set up a new Automotive R&D Center, located in Ho Chi Minh City. The continuous growth of this Centre is in line with Bosch’s strategy in Vietnam, which aims at becoming a manufacturing and R&D hub in the Southeast Asian region. Currently four products are available: connectors, pushbelt, fuel supply, and diagnosis module (tank leakage). For further information, please visit our website: www.bosch.com.vn Job Description Assist in designing and training machine learning models across multiple domains (tabular data, computer vision, NLP/LLM). Support the development of AI-powered document understanding and information extraction systems. Contribute to chatbot development and automation workflows for R&D and production use cases. Collaborate with cross-functional teams to integrate AI features into larger software systems. Learn and apply MLOps practices for deploying, monitoring, and maintaining models. Evaluate models using relevant metrics and suggest improvements. Participate in agile ceremonies and contribute to team deliverables using Azure DevOps. Qualifications Education & Background Student in Computer Science, Computer Engineering, Data Science, or a related field. Technical Skills (Preferred) Strong programming skills in Python. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, OpenCV, Hugging Face, etc. Basic knowledge of machine learning concepts, optimization, and evaluation metrics. Understanding of APIs and exposure to cloud platforms (Azure preferred). Hands-on experience with Git for version control. Familiarity with containerization and deployment platforms such as OpenShift. Knowledge of agile practices and CI/CD is an advantage. Soft Skills Eagerness to learn and apply new AI techniques. Good problem-solving and analytical skills. Ability to work both independently and as part of a team. Strong communication and collaboration skills. Additional Information A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks. An attractive monthly allowance. Bus transportation and lunch are provided daily. Full-paid leaves for Vietnam public holidays, birthday, sickness and 01 day per working month. Opportunities to become a Bosch associate after graduation. What You Will Gain Practical experience in applying AI to real-world automotive R&D challenges. Mentorship from experienced engineers and exposure to industry-standard tools. Hands-on involvement in end-to-end AI development and deployment. Opportunity to enhance technical, problem-solving, and teamwork skills. We are seeking an enthusiastic AI Engineer Intern to join our Automotive R&D Center. As an intern, you will gain hands-on experience working with cutting-edge machine learning technologies — from classical ML on tabular data to image processing, computer vision, and large language models (LLMs). You will help build intelligent systems that can automatically extract information from documents (PDF, Excel, PowerPoint, etc.) and the internet, develop chatbot solutions, and contribute to automating testing processes in production. This role provides exposure to real-world applications of AI within the automotive industry while working closely with product owners, software developers, and data engineers in an agile environment using Azure DevOps.

Responsibilities

Assist in designing and training machine learning models across multiple domains and support the development of AI-powered document understanding systems. Collaborate with cross-functional teams to integrate AI features into larger software systems and learn MLOps practices for deploying and maintaining models.