Job Description

Please find below the detailed Roles and Responsibilities:

Conduct sessions on

AI & ML Fundamentals

,

Model Building & Evaluation

, and

Data Visualization & Communication

. Deliver lectures on: Introduction to AI & ML, Core ML Techniques, and Real-world Applications. Supervised, Unsupervised, and Reinforcement Learning. Neural Networks, Deep Learning, and Transfer Learning. Data Preprocessing, Model Evaluation, Overfitting/Underfitting, and Responsible AI. Data Visualization principles, Storytelling, and Capstone Projects. Provide guidance on hands-on assignments and case studies. Assess student performance and share feedback for continuous improvement. Ensure all sessions align with course objectives and current industry practices.

Tools and Technologies:

The faculty should be proficient in the following:

Python

Jupyter Notebooks

TensorFlow

,

Keras

OpenCV

,

Scikit-learn

,

Seaborn

,

Pandas

,

Matplotlib

Power BI (Basics)

Qualifications & Experience:

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. Proven teaching or training experience in AI, ML, or Data Analytics. Hands-on experience with the tools mentioned above. Strong communication and mentoring skills. Industry experience in AI/Data projects will be an added advantage.
Request you to please share your updated CV at

ayushi.m@techmahindrafoundation.org

Job Types: Full-time, Permanent

Benefits:

Health insurance Paid time off Provident Fund
Work Location: In person