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Globalization Partners

AI, Intern

Reposted Yesterday
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Remote
Hiring Remotely in United Kingdom
Internship
Remote
Hiring Remotely in United Kingdom
Internship
Support the development and deployment of AI solutions, gain exposure to machine learning and natural language processing, and collaborate on AI capabilities integration.
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About Us

Our leading SaaS-based Global Growth Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About the role:

As an AI Intern, you will support the development and deployment of AI solutions at G-P. You will gain exposure to machine learning, natural language processing, and cloud technologies while working alongside experienced AI engineers and data scientists.

This role is suitable for a 3rd year Computer Science student that is available for a 6 month internship starting from July -December this year.

Key Responsibilities:
  1. Assist in developing AI-driven solutions for real business problems.
  2. Support data collection, preprocessing, and analysis to build machine learning models.
  3. Troubleshoot complex technical issues about data and AI
  4. Collaborate with engineers and product managers to integrate AI capabilities
  5. Contribute to experimental AI prototypes.
  6. Write clear and concise documentation of your work and findings.
  7. Participate in team discussions, brainstorming sessions, and technical reviews.
Required Skills and Qualifications:
  • Pursuing Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field
  • Deep understanding and practical experience in machine learning and natural language processing especially LLMs
  • Strong foundational knowledge in statistical modeling, probability, and linear algebra
  • Strong Python programming skills 
  • High standards for code craftsmanship (maintainable, testable, production-ready code)
  • Knowledge of AWS
  • Able to work independently.
  • Highly motivated and result driven

If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward.

We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. 

G-P. Global Made Possible.

G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at [email protected].

Top Skills

AWS
Machine Learning
Natural Language Processing
Python

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