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 (New Delhi)
🏢 AS Technology
📍 New Delhi