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Intern IN -AI/API Engineering

Pearson Education

Updated on: 22 April 2025

Additional Details

Website

www.pearson.com

website

Work Location

Bengaluru, India

location

Job Type

Internship + Fte

job_type

Batch

2026 | 2025

batch

Stream Required

Bachelors/Masters degree in CS or IT

stream

Salary

30000/ Month [Stipend]

salary

Job Description

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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Click on the Apply Now button to apply for Pearson Education

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