Python Developer

1 week ago


Mumbai, Maharashtra, India GM INFOTECH Full time

Key Responsibilities :

- Design and develop software applications using Python programming language and related tools.

- Knowledge of Tkinter would be appretiated.

- Work with AI/ML algorithms to develop machine learning models for data analysis, prediction, and optimization.

- Develop and maintain RESTful APIs for communication with front-end applications and third-party services.

- Utilize various software development methodologies, such as Agile or Scrum, to deliver high-quality software on time.

- Collaborate with cross-functional teams, including product managers, data scientists, and other software engineers.

- Troubleshoot and debug software applications to ensure optimal performance and functionality.

- Conduct research and recommend new tools and technologies to enhance software development processes and improve application performance.

- Ensure the security, reliability, and scalability of software applications.

- Overall, the ideal candidate should be a problem solver with excellent attention to detail and strong communication and collaboration skills.

- They should also be able to ensure the security, reliability, and scalability of software applications.

- In terms of preferred qualifications, a Bachelor's in Computer Science, Software Engineering, or a related field may be beneficial.

- Experience with cloud-based computing platforms, such as AWS or Google Cloud, and DevOps tools, such as Docker, Jenkins, or GitLab, would also be advantageous.

- Familiarity with data visualization tools, such as Tableau or Power BI, could also be useful for developing applications that present data in a user-friendly way.

Skills Required :

Syntax and Semantics : Understanding the fundamental building blocks of the language, including variables, data types, operators, control flow statements, functions, and modules.

Object-Oriented Programming (OOP) : Familiarity with OOP concepts like classes, objects, inheritance, polymorphism, and encapsulation.

Data Structures & Algorithms: Knowledge of common data structures (lists, dictionaries, sets, etc.) and algorithms (sorting, searching, etc.) for efficient data manipulation and problem-solving.

Libraries and Frameworks : Experience with popular Python libraries and frameworks : This can vary depending on the specific role, but might include Django (web development), Flask (microframework), NumPy (scientific computing), Pandas (data analysis), Matplotlib (data visualization), TensorFlow/Keras (machine learning), and Scikit-learn (machine learning).

Web Development Frameworks (if applicable): Expertise in a web development framework like Django or Flask for building web applications using Python.

Data Science Libraries (if applicable): Familiarity with data science libraries like Pandas, NumPy, Matplotlib, and Scikit-learn for data analysis, manipulation, and visualization.

Machine Learning Libraries (if applicable): Knowledge of machine learning libraries like TensorFlow, Keras, or PyTorch for building and deploying machine learning models.

Other Technical Skills :

Version Control Systems (VCS) : Experience with version control systems like Git for code management and collaboration.

Testing Frameworks : Understanding of unit testing frameworks like unit test or pytest to ensure code quality.

Web Scraping (optional) : Familiarity with web scraping libraries like Beautiful Soup or Scrapy to extract data from websites.

API Development (optional) : Knowledge of API design principles and experience with building APIs using Python frameworks like Flask or FastAPI.

Cloud Computing (optional): Familiarity with cloud platforms like AWS, Azure, or GCP for deploying and scaling Python applications.

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