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CausalFunnel

Software Engineer Intern

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  • Posted 2 days ago
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Job Description

Company Description

CausalFunnel leverages innovative cookie-agnostic AI to unlock the hidden potential of anonymous website visitors, processing over 300 million sessions annually. Their unique Intent Prediction and Store-Personalized Machine Learning models empower businesses to boost order conversions and revenue without relying on traditional cookies or expensive ads. The platform has consistently delivered significant profit growth for direct-to-consumer small businesses, showcasing success in a dynamic digital landscape. Learn more about their future-proof AI solutions on their blog: https://www.causalfunnel.com/blog.

Role Description

This is a full-time remote role for a Software Engineer Intern. The intern will participate in designing, developing, and optimizing software solutions using modern development practices. Responsibilities include contributing to back-end web development, applying programming skills, implementing Object-Oriented Programming principles, and ensuring scalable and efficient software development solutions.

Qualifications

  • Strong understanding of Computer Science fundamentals, including data structures and algorithms
  • Proficiency in Back-End Web Development and Software Development
  • Experience with Programming and Object-Oriented Programming (OOP) concepts
  • Ability to learn and adapt to new technologies and tools quickly
  • Excellent problem-solving skills and ability to work both independently and collaboratively
  • Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field
  • Knowledge of cloud platforms and deployment environments is a plus

Requirements:

  • Experience with Python (Programming Language).
  • Experience with Javascript, Node.js and React.js.
  • Experience with Unix Shell Scripting.
  • Knowledge of Wordpress, Shopify, Magento etc. CMS is a plus.

Compensation

INR 20,000/month to INR 30,000/month

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About Company

Job ID: 143246699