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 robust 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:
- NumPy
- Pandas
- Matplotlib/Seaborn
- Scikit-learn
- 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.