[EAF] AI Engineer Intern (6-month fulltime Internship)

Short Summary

[EAF] AI Engineer Intern (6-month fulltime Internship) with Bosch Group. 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…

Key Details

• Position / opportunity: [EAF] AI Engineer Intern (6-month fulltime Internship)
• Organization: Bosch Group
• Country / coverage: Vietnam
• Location: Thành phố Hồ Chí Minh, Hồ Chí Minh, Vietnam
• Work arrangement: On-site
• Opportunity type: Internships
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-18
• Application deadline: Not specified

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. 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 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.

Responsibilities

• 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.
• 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 .

Requirements / Eligibility

• Problem Solving: Propose innovative solutions for model efficiency.
• 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.

How To Apply

Use the Apply now button and follow the instructions on the application page.