to students of varying levels. The ideal candidate will have a deep understanding of AI/ML concepts, strong programming skills, and a passion for teaching. The role involves delivering lessons, providing hands-on training, and mentoring students as they learn the intricacies of AI and ML.
Key Responsibilities
:
Teach AI/ML Concepts
:
Conduct classes covering machine learning algorithms, neural networks, deep learning, natural language processing (NLP), and computer vision.
Provide practical, hands-on coding sessions using Python and popular ML libraries (e.g., TensorFlow, Keras, Scikit-learn, PyTorch).
Curriculum Design
:
Develop and update lesson plans and course materials based on the latest AI/ML trends.
Create and assess student projects, assignments, and quizzes to gauge understanding.
Student Support
:
Offer personalized mentorship to students, helping with coding exercises, project work, and career guidance.
Provide constructive feedback on assignments and projects to aid student learning.
Continual Learning
:
Keep up-to-date with new AI/ML technologies, tools, and best practices to integrate into the curriculum.
Participate in workshops or conferences to enhance your own skills and knowledge.
Skills & Qualifications
:
Educational Qualifications
:
Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Technical Skills
:
Strong programming skills in
Python
.
Proficiency in AI/ML frameworks such as
TensorFlow
,
Keras
,
Scikit-learn
,
PyTorch
.
Experience with data manipulation tools such as
Pandas
,
NumPy
, and
Matplotlib
.
Teaching Experience
:
Prior teaching or tutoring experience in AI/ML or related technical subjects is preferred.
Ability to explain complex topics in a simple, clear manner.
Other Skills
:
Strong communication and presentation skills.
Ability to motivate and engage students in hands-on learning.
Preferred Qualifications
:
Certifications in
AI/ML
from platforms like Coursera, Udacity, or edX.
Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
Job Benefits
:
Competitive salary (based on experience).
Flexible working hours.
Opportunities for professional development and continuous learning.
Work in a dynamic and innovative educational environment.
How to Apply
:
Interested candidates can apply by submitting their updated resumes along with a cover letter highlighting their relevant experience and passion for AI/ML teaching.
Job Types: Full-time, Part-time, Fresher
Pay: ₹15,000.00 - ₹60,000.00 per month
Expected hours: No less than 21 per week
Work Location: In person
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