Python Full Stack Engineer - Professional

What would you do?

Job Description (JD)

Role Summary:We are seeking a skilled and experiencedAI Python Developerwith 6-8 years of hands-on experience in Python development. The ideal candidate should have a strong understanding of Object-Oriented Programming (OOP) concepts and expertise in AI-related Python packages. This role involves developing robust, efficient, and scalable solutions while adhering to best coding practices.

Key Responsibilities:

• Develop holistic solutions using Python, with a strong focus on practical coding and implementation.
• Apply a deep understanding of Object-Oriented Programming (OOP) principles to design and develop efficient code.
• Utilize AI-related Python packages (e.g., OpenAI, spaCy) to build intelligent applications.
• Fetch data from backend systems using Python and create APIs for seamless integration.
• Ensure proper coding practices, avoiding issues such as memory leaks, improper resource closure, and unoptimized memory usage.
• Implement garbage collection effectively to optimize application performance.
• Collaborate with cross-functional teams to deliver high-quality, scalable solutions.
• Stay updated with the latest advancements in Python and AI-related libraries to enhance development processes.

Qualifications and Skills:

• 6-8 years of hands-on experience in Python development, with a focus on AI applications.
• Strong proficiency in AI-related Python libraries, including OpenAI and spaCy.
• In-depth knowledge of Object-Oriented Programming (OOP) concepts and their practical application.
• Experience in designing and developing APIs and backend integrations using Python.
• Strong understanding of memory management, garbage collection, and resource optimization in Python.
• Ability to write clean, efficient, and maintainable code.
• Problem-solving mindset with a focus on delivering robust and scalable solutions.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience in deploying AI models and integrating them into production systems.
• Familiarity with other Python libraries and frameworks used in AI and data processing.
• Knowledge of best practices in software development, including code reviews, testing, and version control.