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.
- Robust practical knowledge of Python, Machine Learning, Deep Learning, NLP, and ML deployment.
- Excellent communication, presentation, mentoring, and classroom management skills.

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