AI Specialist / PHP Developer

AVRillo

3 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Remote

Tech stack

Testing (Software)

HTML

JavaScript

PHP

API

Artificial Intelligence

Amazon Web Services (AWS)

CSS

Cloud Computing

Information Engineering

Web Development

Fraud Prevention and Detection

Python

Laravel

Machine Learning

Natural Language Processing

Named Entity Recognition

NoSQL

Redis

TensorFlow

SQL Databases

TypeScript

Web Applications

PyTorch

Large Language Models

Backend

FastAPI

Vue.js

Kubernetes

Front End Software Development

Functional Programming

Api Design

Document Classification

Docker

Job description

PHP & Web Development:
Design, develop, and maintain web applications using Laravel and Vue.js.
Implement server-side functionalities and write APIs.
Optimize performance, security, and scalability.
Troubleshoot and test software for efficiency and reliability.
Collaborate with team members to deliver high-quality solutions.
AI & Machine Learning:
Develop and integrate AI-driven automation into our conveyancing platform.
Build and train machine learning models for document processing and fraud detection.
Implement NLP for legal document understanding and chatbot development.
Optimize AI models for performance, scalability, and accuracy.
Stay updated with advancements in AI and recommend best practices.

Requirements

Do you have experience in Vue.js?, We are seeking an experienced UK-based PHP Developer with expertise in AI, Machine Learning, and NLP to drive innovation in digital conveyancing solutions. The ideal candidate will have a strong foundation in Laravel, VueJS, AWS, and AI-driven automation., * Back-End: PHP, Laravel (5+ years)

Front-End: Vue.js (3+ years), JavaScript/TypeScript, HTML, CSS
AI & ML: Python, TensorFlow/PyTorch, OpenAI API, FastAPI
NLP: Text Classification, Named Entity Recognition (NER), LLMs
Cloud & Data: AWS (S3, EC2, Lambda), SQL, NoSQL, Data Engineering
Other Tools: Redis, Docker, Kubernetes