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    Job · 16213477

    Pearson logo

    Associate, AI & Machine Learning Intern

    Pearson · Bengaluru · onsite · Posted 44d ago

    Undisclosed0–1 yrsinternshipSourced fromNaukri

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    About this role

    Job Summary

    Associate, 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 teams 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.

    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

    Requirements

    • 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, wed love to hear from you.

    Job: Data Engineering

    Job Family: TECHNOLOGY



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    AutomationAnalytics toolsAzure Aiapiscloud aiai servicesai technologiesAzure StorageAnalyticsAI/Machine LearningcloudAlgorithmsAi SolutionsMicrosoft AzureBusiness IntelligenceArtificial IntelligenceAutomation Solutions

    About Pearson

    Pearson logo

    Pearson

    Education & Training

    10000-50000

    employees

    1844

    182 years old

    London

    United Kingdom

    About

    Pearson delivers educational content and digital services globally, aiming to improve learners' skills and employability in a dynamic work environment.

    Industries

    Education & TrainingInternet

    Employee ratings

    144 reviews

    3.6/ 5

    Culture

    3.4

    Career growth

    2.9

    Work-life

    3.8

    Employees rate it well for

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