Python Trainer

**Position**: Python Trainer
**Location**:Rajahmundry

**Job Type**: Full-time

**Job Summary**:
**Key Responsibilities**:

- **Training Delivery**:

- Conduct Python training sessions both in-person and online for individuals, groups, and corporate clients.
- Teach a variety of Python topics, including basic syntax, data structures, OOP (Object-Oriented Programming), file handling, web development (Flask/Django), data analysis (Pandas, NumPy), machine learning (scikit-learn, TensorFlow), and automation (Selenium, PyAutoGUI).
- Provide hands-on coding exercises and real-world projects to help students practice their skills.
- Encourage active participation, discussion, and problem-solving during training sessions.
- **Curriculum Development**:

- Design and develop comprehensive Python training materials, including lesson plans, presentations, exercises, and quizzes.
- Regularly update training content to ensure it is aligned with the latest Python features, libraries, frameworks, and industry trends.
- Customize training materials to meet the specific needs of learners, such as beginner, intermediate, or advanced Python students.
- **Student Support and Mentorship**:

- Provide one-on-one mentorship and support to students who need help with assignments, projects, or coding challenges.
- Answer questions and clarify doubts in class or through online forums and discussion platforms.
- Track students’ progress, evaluate their understanding, and provide constructive feedback to help them improve.
- Offer career advice and guidance on how to use Python in various domains, such as web development, data science, or automation.
- **Assessments and Certification**:

- Develop and administer quizzes, coding challenges, and practical exams to assess students’ understanding of Python concepts.
- Grade assignments, projects, and exams, and provide actionable feedback to students.
- Award certificates upon successful completion of the Python training program, based on predefined assessment criteria.
- **Continuous Improvement**:

- Stay up-to-date with the latest Python libraries, frameworks, tools, and trends in the programming and tech industry.
- Continuously improve training methods and course content based on student feedback and evolving industry standards.
- Participate in internal training and development programs to enhance teaching and technical skills.
- **Corporate Training and Workshops**:

- Organize and conduct customized Python training workshops for corporate clients or teams.
- Offer post-training support to corporate clients to ensure successful implementation of Python-based solutions in their projects.
- **Technical Support**:

- Provide troubleshooting assistance for students encountering issues with Python code, IDEs (Integrated Development Environments), or software configurations.
- Help students set up and configure necessary Python development environments (e.g., Jupyter notebooks, PyCharm, Anaconda, etc.).
- **Reporting and Feedback**:

- Maintain detailed records of student attendance, progress, and performance.
- Provide regular feedback to management on the effectiveness of the training programs, and suggest improvements based on student outcomes and feedback.
- Gather feedback from students and adjust training sessions to address their learning needs.

**Qualifications**:

- **Education**:

- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field.
- Certifications in Python or related areas (e.g., Python Institute certification, Data Science, Machine Learning, etc.) are a plus.
- **Experience**:

- Minimum of 1 year of hands-on experience in Python programming and software development.
- Prior experience teaching or mentoring in Python is highly preferred but not mandatory.
- Experience with Python libraries and frameworks such as Flask, Django, Pandas, NumPy, scikit-learn, TensorFlow, etc., is an advantage.
- Familiarity with database management and SQL (e.g., MySQL, PostgreSQL) and web development frameworks is a plus.
- **Technical Skills**:

- Strong proficiency in Python programming, including core Python syntax, data structures, and algorithms.
- Experience with Python libraries for data analysis (e.g., Pandas, NumPy), web development (e.g., Flask, Django), and machine learning (e.g., scikit-learn, TensorFlow).
- Familiarity with version control systems like Git and GitHub.
- Basic knowledge of SQL and databases, as well as REST APIs, is an advantage.
- Experience with Python tools and IDEs (e.g., Jupyter notebooks, PyCharm, Anaconda).
- Strong understanding of software engineering principles and best practices.
- **Soft Skills**:

- Excellent communication, presentation, and interpersonal skills.
- Ability to break down complex Python programming concepts into simple and understandable components.
- Strong problem-solving skills and the ability to troubleshoot coding issues.
- Ability to engage, inspire, and moti