Keras and PHP Integration in Developer Jobs
When a PHP developer job description mentions Keras, it typically points to a role focused on integrating a PHP application with a machine learning (ML) or artificial intelligence (AI) service. Keras is a high-level API for building and training deep learning models, and it runs on top of platforms like TensorFlow. Since Keras is a Python library, its use in a PHP context is almost always indirect, via an API.
Connecting PHP to Keras-Powered Services
The primary responsibility for a PHP developer in this context is to architect the communication layer between the main PHP application and a separate ML microservice built with Python and Keras. This usually involves making HTTP requests to a REST API exposed by the Python service, sending input data (e.g., user text or an image), and then processing the ML model's prediction returned in the response.
Responsibilities and Required Knowledge
These roles require strong backend skills and an understanding of how to work with external, specialized services.
- Advanced proficiency in PHP and experience building clients for RESTful APIs.
- Solid understanding of data serialization formats like JSON.
- A foundational knowledge of machine learning concepts to effectively communicate with data science teams.
- Experience with asynchronous processing in PHP to handle potentially long-running ML API calls.
- Basic familiarity with Python can be beneficial for debugging and collaboration.
