Job Description
3. Job Description – AI/ML Trainer
nAbout the Role
nWe 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.
nKey Responsibilities
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- Deliver engaging classroom training on Data Science, Machine Learning, and Deep Learning concepts to engineering students.n
- Conduct instructor-led sessions covering theory, coding demonstrations, hands-on labs, assignments, and project mentoring.n
- Deliver training aligned with the prescribed curriculum, including:n
- Python for Data Sciencen
- Statistics & Probability for Machine Learningn
- Supervised Learningn
- Unsupervised Learning & Feature Engineeringn
- Deep Learning & Neural Networksn
- Natural Language Processing (NLP) & Time Series Analysisn
- ML Model Deployment using FastAPI, Streamlit, Docker, and AWSn




- Conduct practical sessions using industry-standard datasets and real-world use cases.n
- Mentor students in completing mini projects and capstone projects.n
- Evaluate students through assessments, coding exercises, assignments, and project reviews.n
- Collaborate with the academic team to ensure timely completion of the training schedule and maintain high training quality.n

nTechnical Skills Required
nThe candidate should have hands-on expertise in:
nProgramming & Data Analysis
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- Pythonn
- NumPyn
- Pandasn
- Matplotlibn
- Seabornn
- Jupyter Notebook / Google Colabn

nMachine Learning
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- Regression & Classificationn
- Decision Treesn
- Random Forestn
- Support Vector Machines (SVM)n
- K-Nearest Neighbours (KNN)n
- XGBoost / LightGBMn
- Model Evaluationn
- Cross Validationn
- Hyperparameter Tuningn
- Feature Engineeringn

nDeep Learning
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- TensorFlown
- Kerasn
- A

📌 AI/ML Trainer (New Delhi)
🏢 AS Technology
📍 New Delhi