Education : Currently pursuing a Bachelor’s or Master’s Degree or equivalent in Engineering, Computer Science, IT.

Job Location: Bangalore (Hybrid)

Experience: Students

Skills: TensorFlow/PyTorch , Generative AI research

Responsibilities of AI Engineer Intern Job Opening at Pearson:

• 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

Additional Details:

• Duration: 3 Months (June until August)

• Work Setup: Hybrid - Office on Tuesday, Wednesday, and Thursday

• Salary: INR 30,000 per month

Basic Qualifications Required to be Successful in this Role:

• Candidates who are currently pursuing a bachelor’s or master’s Degree or equivalent in Engineering, Computer Science, IT. Candidates 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

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.

About the Company

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