About the Internship
We are seeking an enthusiastic and motivated intern to join our team and work on exciting projects involving financial datasets, advanced machine learning/artificial intelligence techniques, and building context-aware LLM applications.Selected intern's day-to-day responsibilities include:
A. Machine learning/artificial intelligence data processing pipelines and LLM-based context-aware applications and agents:
1. Design and build scalable data processing pipelines to handle large volumes of financial data efficiently.
2. Implement data cleaning, transformation, and feature engineering steps to prepare data for modeling.
3. Build context-aware LLM applications and agents
B. Real-time Flask-based APIs:
1. Develop real-time Flask-based APIs to provide access to our machine learning models and data analysis results.
2. Ensure the APIs are robust, secure, and efficient to handle multiple concurrent requests.
C. Python and Django Web Interfaces:
1. Build user-friendly web interfaces using Python and Django to interact with the APIs and visualize the analysis results.
2. Create intuitive and responsive front-end designs to enhance user experience.
D. Database Management:
1. Set up and maintain databases to store and manage financial datasets and model outputs securely.
2. Optimize database performance and ensure data integrity throughout the data lifecycle.
E. Cloud Deployment:
1. Deploy the machine learning data processing pipelines and web applications on cloud solutions for scalability and accessibility.
Number of Openings
5 openingsPerks of this Internship
Certificate Recommendation letter Flexible work hours
Other Requirements
1. are available for the work from home job/internship
2. have relevant skills and interests
3. can start the work from home job/internship between 5th Jan'26 and 25th Feb'26
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
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