Associate, AI & Machine Learning Intern

**Associate, AI & Machine Learning Intern** **AI & Machine Learning Intern – Global Payroll Technology Team** **Location:** Bangalore, India (Hybrid) **Duration:** 3 - 6 Months Internship **Department:** Payroll Technology & Business Intelligence **About the Role** Payroll Technology is building the next generation **Global Command Center** , a platform that combines payroll operations, automation, analytics, data intelligence, and AI-powered decision support. This aligns with the team's AI & Innovation and Payroll AI capability pillars documented within Payroll Technology. We are looking for passionate engineering students to join our team as **AI & Machine Learning Interns** . This internship provides an opportunity to work on real-world AI initiatives, data-driven products, intelligent automation solutions, and next-generation payroll intelligence capabilities used across global payroll operations. **Key Responsibilities** + Assist in developing and testing AI and Machine Learning models + Support data preparation, cleansing, transformation, and feature engineering activities + Build prototypes for AI-powered business solutions and intelligent automation + Analyze large datasets to identify patterns, trends, and insights + Develop data pipelines and model evaluation processes + Work with APIs, databases, and cloud-based AI services + Collaborate with software engineers, analysts, and business stakeholders + Participate in model testing, validation, and performance optimization + Research emerging AI technologies and contribute innovative ideas + Document AI solutions, experiments, and findings **Required Skills** + Strong understanding of **Python programming** + Good knowledge of **Data Structures and Algorithms** + Basic understanding of **Machine Learning concepts** + Familiarity with data analysis using **Pandas** and **NumPy** + Strong analytical and problem-solving skills + Understanding of statistics and mathematical fundamentals + Ability to learn quickly and work in a collaborative environment **Preferred Skills** + Familiarity with **Scikit-learn** + Exposure to **Generative AI** , **LLMs** , or **Prompt Engineering** + Knowledge of SQL and databases + Experience with Git and GitHub + Understanding of cloud platforms such as Microsoft Azure + Academic, personal, or hackathon projects involving AI, Machine Learning, Data Science, or Analytics **Eligibility** + Currently pursuing **B.E. / B.Tech** + Preferred branches: + Computer Science Engineering (CSE) + Information Science & Engineering (ISE) + Information Technology (IT) + Artificial Intelligence & Machine Learning (AI/ML) + Data Science + Strong academic background and interest in Artificial Intelligence, Data Science, and Software Engineering **Technologies You Will Work With** + Python + Pandas & NumPy + Scikit-learn + Azure AI Services + Azure Storage & Cloud Platforms + REST APIs + SQL + Git & GitHub + Generative AI & Large Language Models (LLMs) + Data Visualization & Analytics Tools **What You Will Gain** + Hands-on experience building real-world AI solutions + Exposure to enterprise-scale AI and data platforms + Experience working with machine learning models and intelligent automation + Mentorship from experienced technology professionals + Opportunity to contribute to innovative AI products used by global teams + Practical understanding of cloud AI services and enterprise systems + Experience working on next-generation Payroll AI and business intelligence initiatives **If you are passionate about Artificial Intelligence, solving real-world business problems, and building innovative products that create global impact, we'd love to hear from you.** **Who we are:** At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com. **Job:** Data Engineering **Job Family:** TECHNOLOGY **Organization:** Corporate Human Resources **Schedule:** FULL\_TIME **Workplace Type:** On-site **Req ID:** 25878 **Req Type:** Student