Associate, AI & Machine Learning Intern
Pearson Bangalore, Karnataka, India
Education · 10,001+ employees
About the role
The intern will assist in developing and testing AI and machine learning models while supporting data preparation and feature engineering. They will also build prototypes for intelligent automation and collaborate with cross-functional teams to analyze large datasets.
What they look for
Requirements
Candidates must be currently pursuing a B.E. or B.Tech degree in fields such as Computer Science, IT, or AI/ML. A strong understanding of Python, data structures, and basic machine learning concepts is required.
Benefits
Full description
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.
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