IT Trainer

Job Description

Key Responsibilities

Design and establish industry-aligned curriculum and learning paths in AI/ML.

Create engaging training materials, including presentations, lab manuals, coding exercises, case studies, assignments, and projects.

Deliver instructor-led classroom and virtual training sessions.

Mentor students during hands-on labs, capstone projects, and hackathons.

Establish practical assessments, coding challenges, and evaluation rubrics.

Review and continuously enhance existing learning content based on industry trends.

Collaborate with instructional designers and academic partners to improve learner outcomes.

Deliver technical guidance to trainers and back up faculty enablement programs.

Stay updated with emerging AI/ML technologies and integrate them into the curriculum.

Required Technical Capabilities

Mathematics & Statistics for Machine Learning

Statistics and Probability

Linear Algebra

Basic Calculus (Differentiation, Optimization)

Programming & Problem Solving

Core Python Programming Concepts

Data Structures and Algorithmic Problem Solving

Pandas and NumPy for Data Manipulation

Data Preprocessing and Feature Engineering

Machine Learning

Supervised and Unsupervised Learning Algorithms

Model Evaluation Metrics (Accuracy, Precision/Recall, F1, ROC-AUC, RMSE, etc.)

Scikit-learn

Bias-Variance Tradeoff, Overfitting/Underfitting, Regularization

Deep Learning

Deep Learning Fundamentals

CNNs, RNNs/LSTMs, Transfer Learning Models, VAE, and GAN

Computer Vision and NLP concepts

TensorFlow or PyTorch (at least one)

Data Analytics & Visualization

Advanced Excel for Data Evaluation

Power BI Fundamentals, Tableau, Dashboard Development, and Data Storytelling

Database

SQL Fundamentals and Database Querying (Joins, Aggregations, Subqueries)

Generative AI & Agentic AI

Basics of Generative AI (GenAI)

LLM – Transformer Architecture and Working Principles

RAG, Prompt Engineering and Fine-tuning techniques

Agentic AI Concepts and Multi-Agent Systems

Preferred Capabilities

Git and GitHub

REST APIs (Flask or Fast API)

Cloud platforms (Azure, AWS, or GCP) - especially AI/ML services

MLOps Basics (model deployment, versioning, monitoring)

Jupyter Notebook

Streamlit or Gradio

Docker

Educational Qualification

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.

Applicants with a Bachelor of Engineering (B.E./B.Tech.), Master of Engineering (M.E./M.Tech.), MCA, or equivalent qualifications are encouraged to apply.

Required Competencies

Outstanding communication and presentation capabilities.

Strong analytical and problem-solving abilities.

Passion for teaching and mentoring.

Ability to simplify complex mathematical and technical concepts.

Strong curriculum development and documentation capabilities.

Effective stakeholder management and collaboration.

Time management and multitasking abilities.

Preferred Experience

Experience in EdTech, higher education, or corporate training.

Experience delivering technical training to engineering students or working professionals.

Experience creating project-based learning content and coding assessments.

Hands-on industry experience as a Data Scientist, ML Engineer, or AI Engineer.

Experience with Learning Management Systems (LMS) is an added advantage.

Key Key outcomes

Curriculum and syllabus design for Lab programs

Instructor presentations

Lab manuals and coding exercises

Assignments and assessments

Capstone projects

Question banks and evaluation rubrics

Faculty enablement sessions

Student mentoring and technical back up

This opening is for the IT Trainer position in Mumbai.