Intern, Software

About the Role

This is a 6-month internship opportunity designed for students or recent graduates seeking hands-on experience in Software Development, Data Analytics, AI, and Automation technologies. You will contribute to initiatives that improve productivity, enhance decision-making, and support digital transformation.

Key Responsibilities

• Support the development, testing, and maintenance of software applications, scripts, and automation solutions using modern programming languages and tools.
• Create and enhance Power BI dashboards and visualizations to help stakeholders make data-driven decisions.
• Assist in identifying opportunities to leverage AI, Generative AI, and automation technologies to improve efficiency and productivity.
• Work with databases to extract, analyze, and interpret data using SQL and related tools.
• Collaborate with cross-functional teams, participate in project discussions, document progress, and contribute to continuous improvement initiatives.

Requirements & Tech Stack

• Currently pursuing or recently completed a degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.
• Good programming fundamentals with hands-on experience in at least one language such as Python, Java, or JavaScript, including understanding of Object-Oriented Programming (OOP) concepts.
• Basic experience with Power BI, including creating dashboards, data visualizations, and presenting insights from data.
• Understanding of databases and ability to write basic SQL queries using MySQL or other relational databases.
• Strong analytical thinking, problem-solving ability, communication skills, and eagerness to learn new technologies.

Preferred Qualifications

• Experience or exposure to:
• Generative AI, AI-powered tools, and automation platforms such as Microsoft Copilot, GitHub Copilot, Power Automate, or similar technologies.
• Git and version control concepts.
• Software Development Life Cycle (SDLC), debugging techniques, and clean coding practices.
• REST APIs, Agile methodologies, Azure DevOps, JIRA, or related development and collaboration tools.
• Process automation and workflow optimization initiatives.