course curriculum, lesson plans, and training materials
Teach core concepts including:
Python for Data Science
Statistics & Probability
Machine Learning (Supervised & Unsupervised)
Deep Learning basics
SQL & Data Handling
Data Visualization (Matplotlib, Seaborn, Power BI / Tableau)
Guide students through
real-time projects and case studies
Conduct assignments, quizzes, mock interviews, and assessments
Explain complex technical concepts in a clear and simple manner
Provide
career mentoring, interview preparation, and resume guidance
Stay updated with emerging trends in
AI, ML, and Data Science
Support placement activities and corporate training programs (if required)
Required Skills & Qualifications
Bachelor's / Master's degree in
Computer Science, Data Science, AI, Statistics, Mathematics, or related field
Strong hands-on experience in:
Python (NumPy, Pandas, Scikit-learn)
Machine Learning algorithms
SQL and data preprocessing
Deep Learning frameworks (TensorFlow / PyTorch - preferred)
Solid understanding of
statistics and linear algebra
Excellent communication and presentation skills
Ability to train freshers and working professionals
Preferred Qualifications:-
Industry experience as a
Data Scientist / ML Engineer
Prior teaching or training experience
Experience with
real-world datasets and deployment basics
Fresher's are welcome
Benefits:-
Competitive salary
Opportunity to work with aspiring data professionals
Professional development and certification support
Positive learning-focused work environment
Job Type: Full-time
Pay: ?25,000.00 - ?35,000.00 per month
Benefits:
Paid sick time
Work Location: In person
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