Are you a student or recent graduate looking to gain practical experience in software engineering, data analytics, and Artificial Intelligence? The Kaleris Analytics Internship could be an opportunity to explore modern engineering technologies while working on real-world transportation and supply chain challenges.
Kaleris is hiring for the position of Engineering Intern โ Transport Analytics in Chennai, India. This full-time internship focuses on full-stack development, REST APIs, data warehouse integration, and emerging AI technologies. Candidates with foundational programming knowledge in Python and Java, an understanding of databases, and an interest in Generative AI may find this role worth exploring.
Unlike an internship focused only on learning through sample projects, this opportunity emphasizes building functional solutions that can support business operations, improve data visibility, and enhance customer experiences.
In this article, we cover the Kaleris Analytics Internship job details, eligibility criteria, required technical skills, key responsibilities, preferred qualifications, selection considerations, and the official application link.
Kaleris Analytics Internship 2026: Job Overview
Before applying, review the essential details of the Engineering Intern โ Transport Analytics position.
| Job Details | Information |
|---|---|
| Company | Kaleris |
| Job Title | Engineering Intern โ Transport Analytics |
| Internship Category | Software Engineering and Transport Analytics |
| Job Location | Chennai, India |
| Work Type | Full-time |
| Job Requisition ID | R-100656 |
| Education | Bachelor’s or Master’s degree in a relevant technical discipline, currently pursuing or recently completed |
| Programming Languages | Python and Java |
| Database Skills | SQL/NoSQL and database-connected applications |
| AI Skills | Generative AI, LLM applications, and Agentic AI concepts |
| Preferred Experience | Projects, internships, open-source contributions, or academic work involving data pipelines |
| Salary/Stipend | Not specified in the supplied job description |
| Application Deadline | Not specified in the supplied job description |
| Official Application | Apply through Kaleris Careers |
Note: Check the official application page for the latest availability, application requirements, and any additional information before submitting your application.
About the Kaleris Analytics Internship
The Kaleris Analytics Internship is designed around engineering work that connects software development with transportation analytics. The Transport Analytics team supports the data warehouse ecosystem behind Kaleris’s inland transport products.
Transportation and supply chain operations generate large amounts of data. Engineering teams need reliable systems to collect, process, organize, and present that information so that businesses can make informed decisions.
As an Engineering Intern, you may contribute to web applications, backend APIs, analytics integrations, and prototypes involving AI-powered workflows. The role also emphasizes understanding business requirements and converting them into practical technical solutions.
This makes the position relevant to candidates interested in several related areas:
- Software engineering and backend development
- Full-stack web application development
- Data engineering and database systems
- Business intelligence and operational dashboards
- Generative AI and large language model applications
- Intelligent automation and Agentic AI
- Cloud infrastructure and application performance
Candidates who enjoy solving practical problems, experimenting with technologies, and building projects beyond classroom assignments may find this internship particularly interesting.
Final Words
The Kaleris Analytics Internship 2026 may be worth considering for students and recent graduates who want to combine core software engineering with data analytics and modern AI technologies.
The Engineering Intern โ Transport Analytics role offers exposure to Python, Java, databases, REST APIs, data warehouse systems, and AI experimentation. Applicants can strengthen their profiles by building practical projects, revising programming fundamentals, and preparing to explain how their technical work solves real problems.
If your background aligns with the listed requirements, review the official vacancy and submit your application if you are eligible. Check the employer’s careers page for the most current details before applying.
