Junior Web Development Programmer

4 days ago


Cleveland, Ohio, United States Patterned Learning AI Full time
Job Title: Junior Web Development Programmer

We are seeking a talented Junior Web Developer to join our dynamic team at Patterned Learning AI. As a Junior Web Development Programmer, you will play a crucial role in creating cutting-edge online solutions that help developers code faster and more efficiently.

About the Role:
  • Work closely with project managers, designers, and senior developers to bring projects to life.
  • Contribute to the maintenance and improvement of our company websites.
  • Manage multiple tasks with efficiency and meet deadlines consistently.
Requirements:
  • Strong understanding of Internet technologies and applications.
  • Proficiency in HTML, CSS, and Javascript, and a working knowledge of server-side scripting (PHP, ASP, etc.).
  • Experience with database interaction (MySQL, SQL Server, etc.) is a plus.
  • A team player with a collaborative spirit and a desire to learn.
  • Excellent computer skills and a passion for the internet.
  • Experience with back-end development is a strong advantage.
  • A keen eye for detail and an appreciation for good design (bonus points for social media and blogging experience).
What We Offer:
  • Flexible work schedule (minimum 30 hours/week).
  • The opportunity to work remotely or from our casual office environment.
  • Be part of a supportive and creative team.
  • A chance to take your web development skills to the next level.

Please note that while this role offers flexibility, strong communication and the ability to manage multiple tasks independently are still crucial.

Why Patterned Learning AI?

Our platform can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.



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