IT Trainer

PeopleStrong; Chennai District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

PeopleStrong is seeking an experienced Data Science/Data Engineer with a strong focus on AI/ML to design and deliver industry-aligned curriculum for advanced learners. You will create engaging materials and run instructor-led sessions, mentor students through labs, capstones, and hackathons, and develop practical assessments aligned with real-world use cases.

The role emphasizes translating complex AI/ML concepts into accessible content, continuously updating materials, and collaborating with

Qualifications

• Strong teaching and mentoring experience in AI/ML
• Ability to simplify complex mathematical and technical concepts
• Excellent communication and presentation skills
• Curriculum development and documentation skills
• Experience with Lab-based and project-based learning formats

Responsibilities

• Design and develop industry-aligned curriculum and learning paths in AI/ML.
• Create engaging training materials, including presentations, labs, 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.
• Develop 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.
• Provide technical guidance to trainers and support faculty enablement programs.
• Stay updated with emerging AI/ML technologies and integrate them into the curriculum.

Skills

Python

Data Structures & Algorithms

Pandas & NumPy

ML Algorithms

Deep Learning

TensorFlow / PyTorch

SQL

Power BI / Tableau

Git & GitHub

REST APIs

Cloud Platforms (Azure, AWS, GCP)

Jupyter Notebook

Streamlit

Docker

Education

Bachelors or Masters in CS/IT/AI/DS

MTech/ME/BE/BTech/MCA or equivalent encouraged

Tools

Jupyter Notebook

Streamlit

Gradio

Docker

Job description

Data Science Data Engineer Artificial Intelligence Machine Learning

Master of Technology (MTech)

Job Description

Key Responsibilities

• Design and develop 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.
• Develop 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.
• Provide technical guidance to trainers and support faculty enablement programs.
• Stay updated with emerging AI/ML technologies and integrate them into the curriculum.

Required Technical Skills

Mathematics & Statistics for Machine Learning

• Statistics and Probability

Programming & Problem Solving

• Core Python Programming Concepts
• Data Structures and Algorithmic Problem Solving
• Pandas and NumPy for Data Manipulation
• Data Preprocessing and Feature Engineering
• Supervised and Unsupervised Learning Algorithms
• Scikit-learn
• Bias-Variance Tradeoff, Overfitting/Underfitting, Regularization
• Deep Learning Fundamentals
• CNNs, RNNs/LSTMs, Transfer Learning Models, VAE, and GAN
• Computer Vision and NLP concepts
• TensorFlow or PyTorch (at least one)
• Advanced Excel for Data Analysis
• 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 Skills

• Git and GitHub
• REST APIs (Flask or Fast API)
• Cloud platforms (Azure, AWS, or GCP) - especially AI/ML services
• 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.
• Candidates with a Bachelor of Engineering (B.E./B.Tech.), Master of Engineering (M.E./M.Tech.), MCA, or equivalent qualifications are encouraged to apply.
• Excellent communication and presentation skills.
• Strong analytical and problem-solving abilities.
• Passion for teaching and mentoring.
• Ability to simplify complex mathematical and technical concepts.
• Strong curriculum development and documentation skills.
• 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.
• Curriculum and syllabus design for Lab programs