3.

– 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