Python Developer- Freshers 1 -2 year @ Prathigna. Hr

Job Description

Python Developer -( 1 - 2 years Experience ) Requirements: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Up to 1 year of experience in Python programming (including internships or academic projects). Understanding of software development fundamentals, data structures, and algorithms. Familiarity with version control systems, preferably Git. Basic knowledge of web development technologies (HTML, CSS, JavaScript) is a plus. Excellent problem-solving, analytical, and communication skills. Ability to work well in a team environment and be adaptable to changing project requirements. Preferred Skills: Strong proficiency in Python with a good understanding of advanced Python features. Experience with Python web frameworks (e.g., Django, Flask). Knowledge of Machine Learning/AI libraries such as TensorFlow, PyTorch, Scikit-learn, and an understanding of machine learning fundamentals. Proficiency in. data manipulation libraries like NumPy, pandas, and familiarity with data visualization tools. Understanding of RESTful APIs and experience in integrating third-party services. Knowledge of database systems (SQL or NoSQL) and basic design principles. Familiarity with containerization (e.g., Docker) and cloud services (e.g., AWS, Azure, GCP). Interest in learning about and implementing best practices in cybersecurity. Exposure to or interest in Generative AI technologies and libraries

Employement Category:

Employement Type: Freshers
Industry: Others
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Python Developer- Freshers 1 -2 year

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Keyskills:   software development data structures algorithms HTML CSS JavaScript analytical skills communication skills Machine Learning NumPy RESTful APIs database systems containerization cloud services Python programming version control systems web development technologies problemsolving Python proficiency Python web frameworks AI libraries pandas data visualization tools design principles cybersecurity best practices Generative AI technologies