AI/ML Engineering Internship

Selected intern's day to day responsibilities include:

1. Working on the backend aspect of products
2. Creating prototypes and demonstrating the model behaviour
3. Participating in architecture, development, testing, deployment, operation, maintenance, and enhancement of tools, libraries, frameworks, platform, and software solutions
4. Productionizing machine learning functionalities into core products
5. Being part of evaluation and selection of appropriate technology platform, frameworks, and deployment architecture for products
6. Using innovative ideas to collect, curate, or synthesize data
7. Working on the model problem into a DL framework
8. Building, measuring, and iterating on neural network architectures that effectively solve the problem
9. Validating and testing the solution for real-world environments
10. Writing production-ready code to be deployed in real-world applications
11. Optimizing the solution for accuracy and performance
12. Adding or suggesting new features and capabilities to existing machine learning codebase

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