3. Job Description – AI/ML Trainer About the Role We are looking for an experienced AI/ML Trainer to deliver instructor-led classroom training to engineering students. The trainer will be responsible for delivering technical sessions, conducting hands-on labs, mentoring students on mini projects and capstone projects,and ensuring students gain practical, industry-relevant skills. Key Responsibilities Deliver engaging classroom training on Data Science, Machine Learning, and Deep Learning concepts to engineering students. Conduct instructor-led sessions covering theory, coding demonstrations, hands-on labs, assignments, and project mentoring. Deliver training aligned with the prescribed curriculum, including: Python for Data Science Statistics & Probability for Machine Learning Supervised Learning Unsupervised Learning & Feature Engineering Deep Learning & Neural Networks Natural Language Processing (NLP) & Time Series Analysis ML Model Deployment using FastAPI, Streamlit, Docker, and AWS Conduct practical sessions using industry-standard datasets and real-world use cases. Mentor students in completing mini projects and capstone projects. Evaluate students through assessments, coding exercises, assignments, and project reviews. Collaborate with the academic team to ensure timely completion of the training schedule and maintain high training quality.



Technical Skills Required The candidate should have hands-on expertise in: Programming & Data Analysis Python NumPy Pandas Matplotlib Seaborn Jupyter Notebook / Google Colab Machine Learning Regression & Classification Decision Trees Random Forest Support Vector Machines (SVM) K-Nearest Neighbours (KNN) XGBoost / LightGBM Model Evaluation Cross Validation Hyperparameter Tuning Feature Engineering Deep Learning TensorFlow Keras Artificial Neural Networks (ANN) CNN RNN LSTM Transfer Learning NLP & Time Series Text Pre-processing TF-IDF Word2Vec Named Entity Recognition (spaCy) Sentiment Analysis Topic Modelling ARIMA / SARIMA FB Prophet Deployment & MLOps FastAPI Streamlit Docker MLflow AWS EC2 / Render Git & GitHub Eligibility Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline. Minimum 3–5 years of industry experience in AI/ML development and/or technical training. Prior experience in delivering classroom training to engineering students is highly preferred. Solid practical knowledge of Python, Machine Learning, Deep Learning, NLP, and ML deployment. Excellent communication, presentation, mentoring, and classroom management skills.

📌 AI/ML Trainer (India)
🏢 AS Technology
📍 India