CNN (Convolutional Neural Networks)
While not a traditional part of the core language, jobs mentioning CNN (Convolutional Neural Networks) in a PHP context typically involve integrating machine learning capabilities into web applications. Because complex ML models are usually built and trained using Python, the PHP developer's role is to act as the bridge between the user-facing application and the AI-powered backend service, often via a REST API.
Integrating Machine Learning with PHP
In these roles, a PHP developer is responsible for building the infrastructure that allows an application to leverage a CNN model. This includes creating robust file upload systems for image processing, designing APIs to send data to a Python microservice for inference, and then processing and displaying the results to the end-user. The focus is on seamless integration and creating a smooth user experience, rather than building the neural network itself.
Responsibilities and Required Skills
- Building REST APIs in PHP (using frameworks like Laravel or Symfony) to communicate with an ML service.
- Integrating with pre-trained models via APIs from providers like Google Vision AI or AWS Rekognition.
- Handling data pipelines, including image or data uploads, for processing by a CNN model.
- A foundational understanding of machine learning concepts to collaborate effectively with data scientists.
- Familiarity with consuming and producing data in formats like JSON.
