Associate, AI & Machine Learning Intern

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.

 

 

Experience Level

Entry Level