ML Pipeline Engineering Internship

Selected intern's day-to-day responsibilities include:

1. Perform end-to-end/full-stack software solutions development and deployment of our machine learning (ML) and artificial intelligence (AI) algorithms
2. Write, design, code, test, implement, debug, and validate applications, document design decisions and develop modular software components, and monitor system performance metrics, and identify potential risks/issues
3. Partner closely with the product team on time to value discussions and implementation considerations
4. Provide technical guidance, communicate technical decisions, and mentor developers
5. Partner with product engineering and technology leadership to ensure a consistent technology strategy across teams and products
6. Lead multiple software development initiatives at any given time, serving as an expert for the escalation of complex application design and development issues
7. Perform regular architecture, application design and code reviews on machine learning projects

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