[e.g., Undergraduate Students / Working Professionals]
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About the Role:
We are looking for a data-driven educator to lead our Machine Learning curriculum. You will bridge the gap between complex mathematical theory and real-world Python implementation, helping learners master the art of predictive modeling.
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Technical Stack & Requirements:
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Core Theory:
Strong command of Supervised, Unsupervised, and Reinforcement Learning.
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Libraries:
Hands-on expertise in
Scikit-Learn, TensorFlow, or PyTorch
.
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Mathematics:
Ability to explain Linear Algebra, Calculus, and Probability in the context of ML.
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Programming:
High proficiency in
Python
(Pandas, NumPy, Matplotlib).
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Experience:
[X]+ years in data science or academic teaching.
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Primary Responsibilities:
?Deliver lectures on ML pipelines--from data preprocessing to model evaluation.
?Mentor students on projects involving Regression, Clustering, and Neural Networks.
?Stay current with industry trends (LLMs, Computer Vision, or NLP).
?Design assessments that test both logic and code efficiency.
Job Types: Part-time, Fresher
Pay: From ?5,000.00 per month
Work Location: Remote
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