AI Engineer Intern

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.