ImmersiveDataAI
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PythonEntry Level | On-Site | Pune
Internship Opportunity: Data + AI Intern
Location: Pune, India (In-office)
Duration: 2 Months
Start Date: Between 11th July 2025 and 15th August 2025
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)
- Can start between 11th July and 15th August 2025
- 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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