concepts to students.
Design and deliver engaging lectures, labs, and projects based on real-world applications.
Prepare and update
lesson plans
, assignments, and assessments.
Explain
data preprocessing, model training, testing, and deployment
in simple language.
Help students build
AI/ML mini projects
using Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, or PyTorch.
Monitor student progress and provide constructive feedback.
Stay updated with the latest AI/ML trends, tools, and technologies.
Conduct practical sessions, hackathons, or coding challenges to improve student engagement.
Collaborate with academic coordinators to ensure syllabus completion.
Required Skills:
Strong knowledge of
Python programming
(functions, loops, OOPs, data structures).
Solid understanding of
Machine Learning algorithms
(Regression, Classification, Clustering, etc.).
Familiar with
AI tools and libraries
(Scikit-learn, TensorFlow, Keras, Pandas, Numpy).
Ability to explain technical topics in a
simple and interactive
manner.
Good communication and presentation skills.
Problem-solving and mentoring mindset.
Qualification:
Bachelor's or Master's degree in
Computer Science / IT / Data Science / Engineering
or a related field.
Certification in
AI/ML or Data Science
(preferred).
Prior teaching or training experience (preferred but not mandatory).
Job Type:
Full-time / Part-time / Contract (as per requirement)
Location: [Institute/School/Online]
Salary: ₹[Range based on experience]
Job Types: Full-time, Fresher
Pay: ₹12,000.00 - ₹15,000.00 per month
Work Location: In person
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