Artificial Intelligence (AI) - Internship
Recsify Technologies
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.
Required Skills
About Recsify Technologies
Recsify is an advanced recommendation engine service designed to enhance the shopping experience for e-commerce customers. Leveraging machine learning algorithms, Recsify analyzes user interactions, purchase history, and product attributes to generate personalized product recommendations. Integrated seamlessly with e-commerce platforms like Shopify and Magento, Recsify offers merchants the ability to display tailored recommendations on their websites or mobile apps. With customization options and real-time updates, merchants can optimize recommendation strategies for better engagement and conversion rates. Recsify's analytics and insights provide valuable metrics to track recommendation performance, ensuring continuous improvement in user satisfaction and sales growth.
Job Summary
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