Experience: Relevant experience in Python Full Stack Development / Technical Training
Compensation: Based on experience and current market standards
About the Role
We are looking for an experienced and passionate Python Full Stack Trainer to join our team on a full-time, on-site basis in Hyderabad. The ideal candidate should have strong hands-on expertise in Python Full Stack Development and the ability to effectively train and mentor learners in industry-relevant technologies.
The trainer will be responsible for delivering structured technical training, conducting practical sessions, mentoring learners, and ensuring strong understanding of both fundamental and advanced concepts.
Key Responsibilities
Deliver comprehensive training on Python Full Stack Development
Teach **Python Core and Advanced concepts with practical, real-world examples.
Conduct hands-on training sessions using FastAPI
Provide practical exposure through coding exercises, projects, assignments, and demonstrations.
Mentor learners and resolve their technical queries.
Design and deliver engaging technical sessions based on the provided Training Outline/Content (TOC)
Assess learner progress through assignments, coding exercises, projects, and evaluations.
Stay updated with current industry practices, tools, and technologies.
Create a collaborative and interactive learning environment.
Required Technical Skills
Candidates should have strong expertise in:
Python Full Stack Development
Python Core & Advanced
FastAPI
At least one additional Python technology/framework/tool
Additional Advantage
Knowledge or professional experience in Data Science
Experience with industry-oriented projects
Prior experience in technical training, mentoring, or corporate/academic training
Candidate Profile
We are looking for candidates who:
Have strong hands-on experience with Python and Full Stack Development.
Possess excellent communication and presentation skills.
Can explain complex technical concepts in a simple and structured manner.
Are comfortable conducting full-day, classroom-based training sessions.
Have a strong problem-solving and mentoring mindset.
Can work effectively with learners from diverse technical backgrounds.
Compensation
Compensation will be decided based on relevant experience and expertise.