Python Application Developer

As a Python Application Developer, you will be responsible for building and maintaining high-quality web applications, automation tools, and AI/ML models. You will use frameworks like Django, Flask, or Fast API for web development, and leverage TensorFlow or PyTorch to implement AI/ML models. Additionally, you’ll work with databases such as PostgreSQL, MongoDB, or MySQL to manage data and ensure the efficient performance of applications. Requirements Key Responsibilities: Develop Python-Based Applications: Build and maintain robust web applications using Django, Flask, or Fast API, ensuring scalable and high-performance systems. Implement AI/ML Models: Work on exciting AI/ML projects, implementing models using TensorFlow or PyTorch to deliver intelligent solutions that drive business value. Work with Databases: Integrate and manage databases such as PostgreSQL, MongoDB, or MySQL to ensure efficient data storage, retrieval, and security. Write Scalable and Reusable Code: Ensure that the code you write is clean, efficient, reusable, and scalable, with a focus on long-term maintainability. Collaborate on Projects: Work closely with cross-functional teams, including data scientists, designers, and project managers, to ensure smooth development and deployment of AI/ML and web applications. Optimize Performance: Continuously optimize the performance of applications, focusing on speed, reliability, and scalability across various platforms and environments. Skills and Requirements: Strong Python Programming Skills: Extensive experience with Python and its libraries, including expertise in writing efficient, clean, and maintainable code. Experience with Web Frameworks: Solid experience with Django, Flask, or Fast API for developing backend web applications and APIs. Knowledge of AI/ML Frameworks: Experience implementing AI/ML models using TensorFlow or PyTorch to build intelligent systems. Database Management: Hands-on experience working with databases like PostgreSQL, MongoDB, or MySQL, with a solid understanding of database architecture and optimization. RESTful API Development: Familiarity with RESTful APIs and their integration within Python-based applications. Cloud Platform Experience: Understanding of cloud platforms (AWS, GCP, Azure) and their use for deploying scalable applications. Version Control Knowledge: Experience using version control systems such as Git for collaboration and code management. Bonus Qualifications: Experience with Docker or containerization. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of machine learning deployment strategies and model optimization.