Internship Opportunity: Data + AI Intern

2 days ago

Bikaner, Rajasthan, India ImmersiveQuest VR Full time

Location: Pune, India (In-office)

Duration: 2 Months

Work Days: Monday to Friday

Stipend: As per company policy

About ImmersiveData.ai

Smarter Data. Smarter Decisions. Smarter Enterprises.

At ImmersiveData.ai, we don't just transform data—we challenge and redefine business models. By leveraging cutting-edge AI, intelligent automation, and modern data platforms, we empower enterprises to unlock new value and drive strategic transformation.

About the Internship

As a Data + AI Intern, you will gain hands-on experience at the intersection of data engineering and AI. You'll be part of a collaborative team working on real-world data challenges using modern tools like Snowflake, DBT, Airflow, and LLM frameworks. This internship is a launchpad for students looking to enter the rapidly evolving field of Data & AI.

Key Responsibilities

  • Assist in designing, building, and optimizing data pipelines and ETL workflows
  • Work with structured and unstructured datasets across various sources
  • Contribute to AI-driven automation and analytics use cases
  • Support backend integration of large language models (LLMs)
  • Collaborate in building data platforms using tools like Snowflake, DBT, and Airflow

Required Skills

  • Proficiency in Python
  • Strong understanding of SQL and relational databases
  • Basic knowledge of Data Engineering and Data Analysis concepts
  • Familiarity with cloud data platforms or willingness to learn (e.g., Snowflake)

Preferred Learning Certifications (Optional but Recommended)

  • Python Programming
  • SQL & MySQL/PostgreSQL
  • Statistical Modeling
  • Tableau / Power BI
  • Voice App Development (Bonus)

Who Can Apply

Only candidates who:

  • Are available full-time (in-office, Pune)
  • Immediate Joiner
  • Are available for a minimum of 2 months
  • Have relevant skills and interest in data and AI

Perks

  • Internship Certificate
  • Letter of Recommendation
  • Work with cutting-edge tools and technologies
  • Informal dress code
  • Exposure to real industry use cases and mentorship

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