Artificial Intelligence Intern

Key Responsibilities

Identify and priorities AI/automation use cases with business stakeholders.

Convert business problems into practical AI solution concepts.

Build proof-of-concepts using Python, SQL, ML libraries and LLM APIs.

Work on use cases such as predictive analytics, anomaly detection, document processing, summarization and Generative AI.

Extract, clean and analyze data and develop dashboards/visualisations.

Test solutions with users, incorporate feedback and improve prototypes.

Document solutions and conduct demonstrations/knowledge-sharing sessions.

Contribute reusable code, prompts and learnings to the AI knowledge repository.

Follow data privacy, information security and Responsible AI guidelines.

Skills & Competencies:

Strong Python skills.

Working knowledge of SQL and Power BI.

Understanding of Machine Learning, Deep Learning and Generative AI.

Hands-on experience with Pandas, NumPy and Scikit-learn.

Exposure to LLMs and prompt engineering.

Knowledge of Git, Jupyter and Excel.

Strong analytical and problem-solving skills.

Preferred:

TensorFlow/PyTorch.

RAG, vector databases, LangChain or AI agent frameworks.

Tableau/Power BI.

Azure, AWS or GCP.

Flask, FastAPI or Streamlit.

Eligibility

Currently enrolled in 7th semester of B.Tech.

Minimum aggregate: [Insert CGPA / Percentage].

No active backlogs.

Available for an uninterrupted 6-month internship.

Institutional approval where required.

What We Look For:

Students who combine strong technical skills with business curiosity and enjoy building practical AI solutions. Projects in AI/ML, GenAI, Data Analytics, NLP, Computer Vision or Business Intelligence will be an advantage.

How to Apply:

Please share:

• Updated résumé
• Links to relevant projects/GitHub repositories
• A maximum 200-word note describing one AI use case that could add value to any business function.

Apply To: Nainy.philip@linde.com

Subject: AI Intern – [Your Name] – [College] – [Specialization]