YOUR NEXT OPPORTUNITY
[BD] AI Engineer Intern (6-month fulltime Internship)
Bosch Group
Employer posted: September 3, 2026. Source checked: October 15, 2026 12:57 am. Availability and final application requirements are confirmed on the employer’s site.
Source: Bosch Group — Vietnam careers. WorkerEra lists this opportunity from an external source; confirm current details with the employer.
About this opportunity
Company Description
The Bosch Group is a leading global supplier of technology and services. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology.
The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth.
Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH – one of the world’s leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions.
Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region.
With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.
Job Description
- Model Development: Assist in developing and implementing AI/ML models, focusing on Generative AI.
- Research and Analysis: Stay updated on AI trends; analyze data for model improvements.
- Deployment and MLOps: Help deploy, monitor, and optimize models; contribute to CI/CD pipelines.
- Collaboration: Work with cross-functional teams on project requirements.
- Problem Solving: Propose innovative solutions for model efficiency.
Qualifications
- Final-year or senior student in Computer Science, Software Engineering, AI, Data Science, or related fields
- Available for a 6-month full-time internship (Monday to Friday) or at least 4 working days per week.
- University recommendation/introduction letter for a 6-month internship is mandatory
- Understanding of AI, ML, deep learning, and Generative AI.
- Proficient in Python and AI/ML, LLM Framework
- Basic knowledge of MLOps principles.
- Strong problem-solving and communication skills.
- Good English communication skills
How to Apply – please submit:
- Your CV
- Cover Letter (maximum 1 page):
- Why are you interested in real-world AI Engineering?
- What AI/software projects have you built, tested, or contributed to?
- Optional: GitHub, portfolio, demos, or AI-related projects
Additional Information
WHY BOSCH?
Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place.
Do you set high expectations for your learning journey? So do we. At Bosch, you’ll explore, grow, and challenge yourself in a dynamic and innovative environment.
Internship Benefits & Learning Opportunities at Bosch
- Monthly Internship Allowance, plus Meal and Parking support.
- 1 paid leave day + 1 sick leave day for each internship month.
- 1 birthday leave day if your birthday falls during the internship period.
- Accident insurance provided throughout the internship.
- Opportunity to observe and engage in international projects and innovation.
- Access to our diverse training programs which surely help strengthen both your personal and professionalism.
- Participation in various company activities such as football, yoga, badminton, and team building.
Imported source listing. Details are supplied by the source and have not been independently verified by WorkerEra. Confirm the current vacancy on the employer’s page.
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- Read the linked employer announcement and compare its requirements with your experience.
- Tailor your CV to responsibilities and skills actually listed by the employer.
- Confirm the work location, deadline and application documents before submitting.
- Salary was not supplied in the listing fields; ask the employer about compensation.
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