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Job Application

Tech Intern(AI Enthusiast)

Remote    |    Full-time

Company Description

Westerbridge Education is a leading educational advisory firm based in the UK, specializing in providing comprehensive guidance to individuals in India and the UAE seeking to pursue their studies abroad. Our commitment to excellence is reflected in our core values of trust, authenticity, care, and unparalleled customer service. With imminent expansions in Mumbai and Dubai, we strive to create a trusted pathway for students navigating the complexities of international education.

Job Description

1. Assist in the development and implementation of AI solutions across various projects. 2. Collaborate with the tech team to brainstorm, design, and prototype AI-powered features and functionalities. 3. Research the latest AI trends, algorithms, and methodologies. 4. Support in data collection, cleaning, and preprocessing for AI model training. 5. Contribute to the testing and validation of AI models to ensure accuracy and reliability. 6. Assist in the documentation of AI projects and workflows. 7. Actively participate in team meetings and brainstorming sessions. 8. Although prior experience with AI frameworks is beneficial, it's not mandatory.


  •  Pursuing or recently graduated with a degree in Computer Science, Engineering, Mathematics, or a related field. 

  • Proficiency in programming languages such as Python, Java, or C++. These languages are commonly used in AI development and machine learning.

  • Basic understanding of data structures, algorithms, and statistical concepts.

  • The ideal candidate should have a genuine interest in AI and emerging technologies. This includes staying updated with the latest advancements, research papers, and trends in the field.

  • Ability to approach problems analytically and creatively, with a strong inclination towards finding innovative solutions.

  • Demonstrated ability to work independently, take ownership of tasks, and proactively seek opportunities for learning and growth.


  • Compensation will be determined based on skills and experience.

  • Potential for performance-related bonuses and incentives.

  • Flexibility in compensation structure, including project-based remuneration.

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