3. Job Description – AI/ML TrainerAbout the RoleWe 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 RequiredThe candidate should have hands-on expertise in:Programming & Data Analysis- Python- NumPy- Pandas- Matplotlib- Seaborn- Jupyter Notebook / Google ColabMachine Learning- Regression & Classification- Decision Trees- Random Forest- Support Vector Machines (SVM)- K-Nearest Neighbours (KNN)- XGBoost / LightGBM- Model Evaluation- Cross Validation- Hyperparameter Tuning- Feature EngineeringDeep Learning- TensorFlow- Keras- Artificial Neural Networks (ANN)- CNN- RNN- LSTM- Transfer LearningNLP & Time Series- Text Pre-processing- TF-IDF- Word2Vec- Named Entity Recognition (spaCy)- Sentiment Analysis- Topic Modelling- ARIMA / SARIMA- FB ProphetDeployment & MLOps- FastAPI- Streamlit- Docker- MLflow- AWS EC2 / Render- Git & GitHubEligibility- 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 (Tendun)
🏢 AS Technology
📍 Tendun