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Associate, AI & Machine Learning Intern

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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.

Skills

See also

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