Intern IN -AI/API Engineering

About Pearson:  

Pearson Education is a global learning company dedicated to helping people realize the life they imagine through learning. With a presence in nearly 200 countries, Pearson offers digital content, assessments, qualifications, and data to create vibrant and enriching learning experiences designed for real-life impact. 

 

Internship Mission Statement:  

Deliver an exceptional internship experience with access to technical skills development, coaching, networking, professional development advice, and insight into the Pearson culture and business. 

 

Internship Ways of working: 

  • Eligibility: Candidate who are currently pursuing a Bachelor’s or Master’s Degree or equivalent in Engineering, Computer Science, IT. Candidate who have completed their studies and are termed as freshers are not eligible for an internship role 
  • Internship Duration: June to August 2025 (3 months) 
  • Mode of Work:  Interns and their managers are to work on-site (office) on Tuesday, Wednesday, and Thursday (minimum three days per week) during the program. No leaves are assigned for the duration. 

  

Internship Program overview 

  • Internship Project(s): You will be given a project to work on for the entire summer and do a final presentation during the last week of the internship. Your manager and mentor will help you every step of the way to ensure you learn and develop new skills. 
  • Learning Enhancing Sessions: There will be various, mandatory, learning sessions every week to learn about Pearson, the Technology organization, and various other skills. 
  • In-Person Activities: Throughout the internship, you will have the option to partake in office networking events and other Pearson India events. 
  • Final Project Presentation: You will present a Final Project report-out to leaders in the final week. 

 

Responsibilities:  

  • Engage in ongoing generative AI research projects under the guidance of the research team 
  • Contribute to the development and enhancement of cutting-edge generative AI applications 
  • Conduct literature reviews to stay abreast of the latest advancements and trends in generative AI 
  • Summarize and communicate relevant research findings to the team 
  • Collaborate with the team to design, implement, and test novel algorithms related to generative AI 
  • Analyse literature relevant to generative AI, identifying patterns and insights to inform model selection 
  • Work on data preprocessing and augmentation to build model training/fine-tuning pipelines 
  • Maintain detailed documentation of research methodologies, experiment results, and algorithm implementations 
  • Create clear and concise reports for internal and potentially external dissemination 
  • Collaborate with cross-functional teams, including software engineers and other researchers, to integrate generative models into practical applications 

 

Key Qualifications: 

  • Candidate who are currently pursuing a bachelor’s or master’s Degree or equivalent in Engineering, Computer Science, IT. Candidate who have completed their studies and are termed as freshers are not eligible for an internship role 
  • Strong background in generative AI research, with a focus on cutting-edge technologies and methodologies  
  • Demonstrated expertise in refining generative models 
  • Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch 
  • Solid understanding of machine learning principles  
  • Strong analytical and problem-solving skills 
  • Effective communication skills to collaborate with interdisciplinary teams and present research findings clearly 
  • Ability to work independently and drive innovative research projects, showcasing a self-motivated and proactive approach 
  • Academic background with a focus on machine learning, deep learning, or a related field 
  • Familiarity with the latest trends and advancements in generative AI to ensure relevance and innovation in research projects 

Duration: 3 Months (June until August)
Work Setup: Hybrid - Office on Tuesday, Wednesday, and Thursday
Salary: INR 30,000 per month

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