Python Developer

Key Responsibilities:

• Develop Python Applications: Write efficient and maintainable Python code, focusing on data analysis, manipulation, and image processing tasks using Pandas, NumPy, and OpenCV.
• Data Manipulation and Analysis: Leverage Pandas and NumPy to clean, analyze, and manipulate large datasets, extracting valuable insights and performing complex transformations.
• Image Processing: Use OpenCV to implement image recognition, image transformation, and process workflows as part of larger applications.
• Collaborate with Teams: Work with data scientists, back-end engineers, and front-end developers to design and deliver end-to-end solutions that meet business requirements.
• Optimize Performance: Ensure your code is optimized for performance, scalability, and resource efficiency, particularly when handling large datasets and image-heavy processes.
• Testing and Debugging: Write and maintain automated tests to ensure the quality and reliability of your code, using tools like pytest or unittest.
• Documentation: Provide clear documentation for the code, libraries, and methodologies used in data manipulation, image processing, and application design.
• Deploy and Maintain: Deploy Python applications to production environments and provide ongoing maintenance, ensuring that they are stable and bug-free.

Required Skills:

• Proficiency in Python: Strong experience with Python, including familiarity with libraries such as Pandas, NumPy, and OpenCV.
• Data Manipulation & Analysis: Expertise in using Pandas for data manipulation, analysis, and handling large datasets. Comfort with NumPy for numerical computing.
• Image Processing with OpenCV: Proficiency in OpenCV for image recognition, transformation, and processing tasks.
• Web Frameworks: Experience with web frameworks like Fast or Flask for developing scalable and maintainable web applications.
• Database Knowledge: Experience working with relational databases (MySQL, PostgreSQL) and/or NoSQL databases (MongoDB, Redis).
• Version Control: Familiarity with Git for version control and collaborative development.
• RESTful API Development: Experience in developing and integrating RESTful APIs.
• Testing: Experience in writing unit tests and using tools such as pytest to ensure code reliability.

Preferred Skills:

• Machine Learning: Exposure to machine learning libraries such as TensorFlow, scikit-learn, or PyTorch for integrating data analysis or image processing into machine learning workflows.
• Cloud Platforms: Experience deploying applications to cloud platforms like AWS, Google Cloud, or Azure.
• CI/CD Tools: Familiarity with continuous integration and deployment tools like Jenkins, Docker, and Kubernetes.
• Microservices Architecture: Experience building and maintaining microservices for scalable and flexible applications.