Role Summary

Role: Intern (AI / Data Engineering )

Company: HARMAN

Type: Full-time Internship

About HARMAN

HARMAN is a global technology company delivering innovative solutions across automotive, connected technologies, and digital transformation. As an AI / Data Engineering Intern, you'll work on real-world AI, GenAI, and data engineering projects while collaborating with experienced engineers to build intelligent, data-driven solutions.

About the Role

Join HARMAN's Analytics Engineering team to develop AI-powered applications, data pipelines, and machine learning solutions. You'll gain hands-on experience with Generative AI, LLMs, data engineering, and analytics while working on business-critical use cases.

Roles & Responsibilities

• Preprocess, clean, and transform data using Python (Pandas, NumPy).
• Build and evaluate basic machine learning models.
• Develop AI-powered applications such as chatbots, copilots, and document Q&A systems.
• Design and optimize prompts for Large Language Models (LLMs).
• Work with RAG architectures, AI agents, and LLM orchestration concepts.
• Integrate AI capabilities using APIs such as OpenAI/Azure OpenAI.
• Support SQL-based data pipelines and ETL processes.
• Create dashboards and visualizations using Power BI, Qlik, or Excel.
• Collaborate with cross-functional teams and maintain technical documentation.

Eligibility

• Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Strong programming skills in Python, including Pandas and NumPy.
• Good understanding of machine learning concepts, statistics, and data analysis.
• Basic knowledge of SQL, APIs, and software development fundamentals.
• Familiarity with Git and clean coding practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience with AI/ML projects showcased on GitHub or Kaggle.
• Exposure to LLMs, Prompt Engineering, RAG, AI Agents, or GenAI applications.
• Knowledge of Power BI, Qlik, or data visualization tools.
• Basic understanding of Azure or AWS cloud platforms.

What You'll Gain

• Hands-on experience building real-world AI and data engineering solutions.
• Exposure to modern GenAI technologies, LLMs, and intelligent automation.
• Mentorship from experienced analytics and AI engineers.
• Opportunity to work on enterprise-scale AI applications in a collaborative environment.
• Continuous learning and professional development at a global technology leader.