Generic Role Profile for Interns

About Us:

DDIT Operations - Testing Services team drives testing services under a unified services model since 2016. We have transformed along the way through various transformation journeys. Our objective is to build and deliver a Leading Class Testing Center of Excellence in DDIT Organization that is collaborative, high quality, consistent, scalable, sustainable, and continuously improving.

We focus on improving testing outcomes through automation, AI adoption, and standardized testing practices aligned with enterprise needs.

What You'll Do

As an APDSS-Testing Services Intern, you will help design and support automation and testing activities with a focus on improving efficiency using modern tools.

· Support development and execution of test automation scripts

· Assist in test case creation and test data preparation

· Use approved AI tools for testing activities such as test creation, analysis, and summarizing results

· Build small proof-of-concept solutions, including simple AI agents or utilities, to improve testing workflows

· Support API testing and integration scenarios

· Help analyze test execution results, troubleshoot issues, and document findings

· Collaborate with team members in an agile working environment

Preferred Skills and Technologies

(Not all are required, but having a few is a strong plus)

· Basic knowledge of automation tools such as Playwright, Selenium, or Cypress; exposure to performance testing tools is a plus

· Programming knowledge in Python or JavaScript

· Understanding of software testing basics and an interest in automation testing

· Exposure to REST APIs and basic API testing

· Experience from coursework, personal projects, or hackathons in building chatbots, simple AI agents, automation utilities, or scripts

· Awareness of AI tools and coding assistants such as Microsoft Copilot or similar platforms

· Basic knowledge of Git/GitHub and version control concepts

· Basic awareness of CI/CD, cloud platforms, and containers

· Awareness of LLM concepts, prompt engineering, tool use, and AI agents

Minimum Requirements

· Currently pursuing a degree in Computer Science, Information Technology, Electronics and Communication, Data Science, AI/ML, or a related field

· Basic programming ability demonstrated through coursework, personal projects, labs, or coding activities

· Strong logical thinking, problem-solving ability, and curiosity about GenAI technologies

· Ability to learn quickly, communicate clearly, and work in a team-oriented environment

· Interest in applying technology to real-world use cases in healthcare and pharma

· Participation in hackathons, coding competitions, student clubs, or open-source activities is an added advantage

What You'll Gain

· Hands-on experience with automation testing and agentic automation concepts and platforms

· Exposure to real product development lifecycles in an agile environment

· Mentorship from test automation and industry experts