AI/ML Trainer

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 ScienceStatistics & Probability for Machine LearningSupervised LearningUnsupervised Learning & Feature EngineeringDeep Learning & Neural NetworksNatural Language Processing (NLP) & Time Series AnalysisML Model Deployment using FastAPI, Streamlit, Docker, and AWSConduct 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 PythonNumPyPandasMatplotlibSeabornJupyter Notebook / Google ColabMachine Learning Regression & ClassificationDecision TreesRandom ForestSupport Vector Machines (SVM)K-Nearest Neighbours (KNN)XGBoost / LightGBMModel EvaluationCross ValidationHyperparameter TuningFeature EngineeringDeep Learning TensorFlowKerasArtificial Neural Networks (ANN)CNNRNNLSTMTransfer LearningNLP & Time Series Text Pre-processingTF-IDFWord2VecNamed Entity Recognition (spaCy)Sentiment AnalysisTopic ModellingARIMA / SARIMAFB ProphetDeployment & MLOps FastAPIStreamlitDockerMLflowAWS EC2 / RenderGit & GitHubEligibility Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline.Minimum 35 years of industry experience in AI/ML development and/or technical training.Prior experience in delivering classroom training to engineering students is highly preferred.Strong practical knowledge of Python, Machine Learning, Deep Learning, NLP, and ML deployment.Excellent communication, presentation, mentoring, and classroom management skills. .