About the Role

We are looking for a highly motivated Tech Customer Support Intern who is excited about solving customer issues using data, automation, and AI-first approaches. This internship is a unique blend of technical support + analytics + automation, where you will learn real-world customer support operations and apply your SQL/Python/GenAI skills to optimize workflows.

During the internship, you will be trained on the ticket lifecycle, support processes, tools, and best practices, with an opportunity to contribute to AI-driven automation initiatives such as ticket triaging, response drafting, anomaly detection, and workflow optimization.

 

Key Responsibilities

Customer Support & Technical Troubleshooting

Assist the support team in investigating and resolving technical product issues raised by customers. Understand customer problems and reproduce issues, identify root causes, and propose fixes/workarounds. Collaborate with engineering/product teams to escalate and track complex issues.

Ticket Lifecycle & Process Management

Learn and follow the end-to-end ticket lifecycle: intake → triage → investigation → resolution → closure. Maintain proper documentation of troubleshooting steps and resolutions. Ensure support SLAs and best practices are followed while managing cases.

Data & Automation Using SQL/Python

Use SQL to query system/application data for troubleshooting, validation, and customer insights. Use Python for data analysis, log parsing, automation, and scripting repetitive tasks. Build basic monitoring/analysis scripts to improve issue detection and operational efficiency.

AI & GenAI Enablement (Internship Growth Opportunity)

Participate in projects to automate support workflows using GenAI/ML. Explore use cases such as: AI-assisted ticket categorization & priority detection Suggested response generation / knowledge-base search Pattern detection across recurring tickets Automated workflow routing and escalation recommendations

Required Skills & Qualifications

Currently pursuing B.E./B.Tech / M.E./M.Tech / MCA / BCA / MSc (CS/IT/Data Science) or equivalent. Strong foundation in SQL (joins, aggregations, filtering, subqueries). Working knowledge of Python (data structures, scripting, file parsing, APIs preferred). Exposure to Machine Learning projects at college level (coursework, mini-projects, capstone). Familiarity with GenAI / LLMs (prompting, OpenAI tools, LangChain basics, embeddings, etc. is a plus). Participation in Hackathons / coding competitions is strongly preferred. Good analytical skills, debugging mindset, and structured problem-solving ability.

Good to Have

Experience with basic cloud concepts or SaaS platforms. Familiarity with ticketing tools like Jira / Zendesk / Freshdesk / ServiceNow (not mandatory). Knowledge of APIs, logs, JSON, Postman. Understanding of ML workflows (data prep, training, evaluation).

Soft Skills

Strong communication skills (written and verbal). Ability to explain technical findings clearly to both technical and non-technical stakeholders. Curiosity and willingness to learn fast in a dynamic environment. Ownership mindset and ability to work collaboratively.

What You Will Learn

Real-world customer support operations, ticket management, and escalation workflows. Debugging and problem-solving in production-like environments. Applying SQL/Python to real customer issues and product analytics. Designing AI-first automation solutions to improve support efficiency and customer experience.

Why Join Us

Work on impactful real-world support and automation problems. Get mentorship from experienced support and engineering professionals. Opportunity to build and showcase AI/ML-based workflow automation projects. Hands-on experience in modern customer support for a tech product environment.