AI Data Analyst Trainer

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