The ideal candidate should have strong technical expertise in
Artificial Intelligence, Machine Learning, and Deep Learning
, along with solid programming knowledge in
Java, Python, C, and C++
.
You should be able to
teach, guide, and mentor students
from diverse academic and coding backgrounds -- ensuring conceptual clarity and hands-on learning.
Responsibilities:
Train students in
AI, Machine Learning, and Deep Learning
concepts from basics to advanced.
Deliver interactive sessions with practical coding demonstrations and projects.
Provide
hands-on training
in Python, Java, and C/C++ for algorithmic understanding.
Design assignments, assessments, and project topics to enhance practical learning.
Guide students on
mini projects and final-year projects
related to AI and ML.
Stay updated with the latest AI/ML/DL frameworks and tools.
Support students in developing strong problem-solving and analytical skills.
Machine Learning algorithms, Neural Networks, and Deep Learning architectures (CNN, RNN, etc.)
.
Good communication and presentation skills for effective student engagement.
Ability to teach students from
different backgrounds
(CS / IT / Non-CS streams).
Added Advantage:
Experience in guiding
academic or industry-level AI/ML projects
.
Familiarity with
Data Science tools
(Power BI, Jupyter, Anaconda).
Exposure to
Generative AI tools
and
LLM-based projects
.
Certification or prior teaching/training experience (preferred but not mandatory).
Perks & Benefits:
Opportunity to work in a growing technical education environment.
Exposure to emerging technologies and project-based teaching.
Support for continuous learning and upskilling.
Friendly and collaborative academic culture.
Job Types: Full-time, Part-time
Pay: Up to ₹18,000.00 per month
Work Location: In person
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