Pearson Job Opening for Generative AI Engineer Internship 2025 in Bangalore.
Pearson Education invites applications for its AI Engineer Internship 2025 in Bangalore, designed for students passionate about generative AI technologies. This Pearson Job offers 3-month hybrid program (June-August) to gain hands-on experience in cutting-edge AI research projects under expert mentorship. Ideal for Engineering/CS/IT students graduating in 2025-2026, the internship includes weekly skill-building sessions, networking events, and a ₹30,000 monthly stipend. At Pearson, you’ll contribute to real-world AI solutions while aligning with the company’s global mission to transform lives through learning.

Pearson Internship 2025 Overview:
Company: Pearson Education
Role: AI Engineer Intern
Location: Bangalore
Experience Level: Freshers
Eligible Batch: 2025 & 2026 graduates
Job Type: Internship
Salary/Stipend: ₹30,000/Month (Expected)
Pearson AI Engineer Internship Description:
As an AI Engineer Intern at Pearson, you’ll drive innovation in generative AI applications critical to enhancing global learning experiences. This role supports Pearson’s mission by developing AI models that personalize education through adaptive technologies.
Key Responsibilities in AI ML Internship at Pearson:
- Conduct generative AI research under expert guidance
- Design/testing of novel AI algorithms for real-world applications
- Analyze academic literature to identify model improvements
- Develop data preprocessing pipelines for training AI models
- Document research outcomes and present findings to leadership
| Popular Jobs & Internships | |
| Microsoft | General Electric |
| Amazon | Deloitte |
Required Generative AI Skills for the Pearson Summer Internship:
- Proficiency in Python, TensorFlow/PyTorch frameworks
- Strong grasp of machine learning/deep learning principles
- Experience in refining generative AI models (LLMs, GANs)
- Ability to translate research insights into technical solutions
- Collaborative mindset for cross-functional teamwork
FREE Courses to Upskill
Get Job Ready with New Skills.
Essential Qualifications for Generative AI Internship at Pearson Bangalore:
Pursuing B.Tech/M.Tech in Computer Science, IT, or related Engineering fields.
Academic projects/research in machine learning/AI.
Fresher graduates from the 2025 and 2026 batches are eligible to apply.
Internship Location: Bangalore, Karnataka, India
Find the Latest Job & Internships alert for: Bangalore
Perks and Benefits of the Pearson Job:
- ₹30,000 monthly stipend
- Hybrid work flexibility (3 days/week onsite)
- Weekly learning sessions on AI trends & Pearson’s tech ecosystem
- Access to networking events with industry leaders
Career Growth Opportunities:
- Potential conversion to Associate AI Engineer roles based on performance and requirements.
- Specialization in generative AI, NLP, or adaptive learning systems.
Salary/Stipend in AI Engineer Internship at Pearson India:
It’s a paid internship in Bangalore with an estimated AI Engineer Intern Salary/Stipend at Pearson is around INR 30,000/Month (PM).
Application Process for Pearson Internship in Bangalore for Freshers:
To apply or for more information regarding machine learning internships for students, visit the Pearson career page using the following link.
Application Deadline: Rolling basis (apply early).
Shortlisted candidates will undergo technical interviews.
Find More Jobs & Internships from: Pearson
| Latest Jobs & Internships for: | |
| B.Tech | M.Tech |
| AI Engineer | CS/IT |
For the Latest Job alerts, follow us on:
For the Latest Job Alerts, Follow Jobinsider on
FAQ:
Q: Can 2024 graduates apply for AI Machine Learning Internship at Pearson?
A: No. Only 2025/2026 batch students eligible.
Q: Is relocation provided?
A: No – interns manage accommodation for hybrid work.
What exactly does Pearson do?
Pearson Education, a global leader in digital learning, empowers 200M+ learners worldwide. In India, it partners with institutions to deliver AI-driven educational tools and certifications. The Bangalore tech hub focuses on EdTech innovations, including adaptive learning platforms and AI-powered assessments.