Bosch | AI Engineer Intern

HCMC

Intern

05/03 — 13/03/2026

Job Description

To apply for this job, you need to complete both steps below:
STEP 1:
Please click the link to submit your application directly to the company: 

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

Your application will only be received by Recruiter if submitted via above link. 

STEP 2:
Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.

Filling out this form alone does not count as applying. Kindly remind this form is not part of the company’s application process. It only helps Careers, Alumni, Industry and Development (CAID) Department discover more opportunities and follow up in case of system issues.

 

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.

Application form

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