- Design and implement software solutions using Python programming language.
- Collaborate with cross-functional teams to understand project requirements and deliver high-quality code.
- Debug and optimize existing Python code for performance improvements.
- Develop and maintain robust, scalable, and secure applications.
- Stay updated on industry trends and incorporate best practices into development processes.
- Proficient in Python programming language.
- Experience with web frameworks such as Django or Flask.
- Strong understanding of object-oriented programming (OOP) concepts.
- Familiarity with front-end technologies (HTML, CSS, JavaScript).
- Database experience, preferably with SQL or NoSQL databases.
- Knowledge of version control systems, such as Git.
- Excellent problem-solving and debugging skills.
- Strong communication and collaboration abilities.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Previous experience in developing and deploying web applications.
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
- Understanding of Agile development methodologies.
- Contribution to open-source projects or a strong GitHub profile.
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Junior Python Developer - Ashford, United States - Patterned Learning AI
Description
Job DescriptionJunior Python Developer- Remote Job, 1+ Year Experience
Annual Income: $60K - $65K, Onsite
A valid work permit is necessary in the US/Canada
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
About the job
Job Responsibilities
Patterned Learning 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.
