AI/ML Trainer

We are looking for a skilled AI/ML & Deep Learning Trainer to deliver practical and industry-oriented training to college students and learners. The trainer should have strong technical knowledge and the ability to explain complex concepts through hands-on sessions, coding exercises, and real-world projects.

Key Responsibilities

Conduct training sessions on Artificial Intelligence, Machine Learning and Deep Learning.

Explain concepts from basic to advanced levels with practical examples.

Develop and deliver hands-on coding sessions, assignments, assessments and projects.

Train students in Python, NumPy, Pandas, Matplotlib and Scikit-learn.

Cover ML algorithms such as Regression, Classification, Clustering, Decision Trees, Random Forest and other relevant techniques.

Conduct training on Neural Networks, CNN, RNN/LSTM and Deep Learning fundamentals.

Work with frameworks such as TensorFlow and/or PyTorch.

Guide students in implementing AI/ML and Deep Learning projects.

Conduct coding exercises, evaluations, mock interviews and doubt-clearing sessions.

Customize training content based on college/institution requirements.

Maintain training materials, project documentation and student progress reports.

Required Technical Skills

Strong proficiency in Python.

Good understanding of Machine Learning and Deep Learning concepts.

Hands-on experience with:

1. NumPy

2. Pandas

3. Matplotlib/Seaborn

4. Scikit-learn

5. TensorFlow / PyTorch

Knowledge of Data Preprocessing, Feature Engineering and Model Evaluation.

Understanding of neural network architectures and model training.

Knowledge of Generative AI / NLP / Computer Vision will be an added advantage.

Ability to work with Jupyter Notebook / Google Colab.

Trainer Skills

Excellent communication and presentation skills.

Ability to explain technical concepts in a simple and structured manner.

Strong classroom management and student engagement skills.

Ability to conduct practical, project-based learning.

Willingness to travel to colleges/institutions when required.

Preferred Candidates

Candidates with prior college training / corporate training / academic training experience.

Candidates with hands-on AI/ML or Deep Learning project experience.

Candidates with experience in developing or mentoring real-world AI/ML projects.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.