to teach and mentor students in core areas of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. The role involves delivering practical, project-based training, creating course materials, and staying updated with industry trends.
Core Skills & Topics
:
- You'll Teach Introduction to Machine Learning (Basics of supervised and unsupervised learning, simple regression andclassification models)
- Fundamentals of Deep Learning (Introduction to neural networks and how they work)
- Basics of Natural Language Processing (NLP) (Text preprocessing, sentiment analysis, simple chatbots)
-Computer Vision Essentials (Understanding images, basic image classification, using OpenCV)
-Overview of Generative AI (Introduction to how AI can generate text or images, basic prompt-based tools)
-Awareness of Deepfakes & AI Ethics (What are deepfakes, risks of AI misuse, ethical considerations)
Practical Tools & Skills
: Python programming, Jupyter notebooks, basic use of libraries like scikit-learn, OpenCV, and beginner friendly exposure to TensorFlow or PyTorch.
Qualifications
:
-Bachelor's or Master's degree required.
- 0-3+ years of experience in AI/ML research, engineering, or instruction.
-Strong proficiency in Python and modern ML/DL frameworks.
-Ability to explain both theoretical concepts and real-world applications clearly.
- Bonus: Experience in curriculum design, mentoring, or public speaking.
Job Types: Full-time, Permanent
Pay: ?15,000.00 - ?30,000.00 per month
Benefits:
Paid sick time
Schedule:
* Day shift
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