Solution Architect Intern (Enterprise Partnership And Solution - BytePlus) - 2026 Start (BS/MS)

ByteDance; Dubai; On-site; AED 33,480 - 55,800; Part time

Job summary

ByteDance in Dubai is seeking a motivated Generative AI Solution Architect Intern to help design and develop AI-driven solutions that leverage generative models. You will gain hands-on experience with cutting-edge technology, assist in model design and testing, prepare presentations, and contribute to impactful projects.

The role emphasizes collaboration, learning, and practical exposure to TensorFlow and PyTorch in a fast-paced team.

Qualifications

• Pursuing Bachelor’s or Master’s degree in CS, Data Science, or related field.
• Basic understanding of machine learning and generative models (GANs, VAEs).
• Familiarity with Python and AI frameworks (TensorFlow, PyTorch) is a plus.
• Strong analytical and problem-solving skills; eager to learn.

Responsibilities

• Collaborate with team to design generative AI solutions tailored to business needs.
• Support development and testing of generative AI models; prepare presentations and demos.
• Research latest generative AI technologies and methodologies.
• Assist in data preparation and preprocessing for training AI models.
• Participate in team meetings and contribute ideas for improving AI solutions.

Skills

Python programming

Analytical thinking

Team collaboration

Education

Bachelor’s or Master’s degree in CS/Data Science

Tools

TensorFlow

PyTorch

Job description

Job Summary

We are looking for a motivated and innovative Generative AI Solution Architect Intern to join our team. In this role, you will assist in designing and developing AI‑driven solutions that leverage generative models. This internship offers hands‑on experience in cutting‑edge technology and the opportunity to contribute to impactful projects.

Key Responsibilities

• Collaborate with team members to assist in designing generative AI solutions tailored to business requirements and customers.
• Support the development and testing of generative AI models under the guidance of architects, preparing presentations and demos.
• Conduct research on the latest generative AI technologies and methodologies.
• Assist in data preparation and preprocessing for training AI models.
• Participate in team meetings and contribute ideas for improving AI solutions.

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Basic understanding of machine learning concepts, particularly in generative models (e.g., GANs, VAEs).
• Familiarity with programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong analytical and problem‑solving skills with a willingness to learn.

Preferred Qualifications

• Good communication skills and the ability to work in a team‑oriented environment.
• A passion for artificial intelligence and interest in exploring new technologies.