IT Trainer

PeopleStrong; Mumbai; On-site; INR 800,000 - 1,600,000; Full time

Job summary

PeopleStrong is seeking a capable Data Science/AI Training Architect to design and deliver industry-aligned AI/ML curricula for engineering students or working professionals in Mumbai. You will create engaging materials, run hands-on labs, and mentor learners through capstones and hackathons.

Ideal candidates will have strong Python, ML, and data visualization skills, plus experience with Jupyter, BI tools, and at least one deep learning framework.

Qualifications

• Experience in EdTech or higher education preferred.
• Ability to translate complex AI/ML concepts into practical curricula.
• Strong communication and presentation skills.

Responsibilities

• Design AI/ML curricula and learning paths aligned to industry needs.
• Create training materials, labs, case studies, and projects.
• Deliver instructor-led and virtual training sessions.
• Mentor students during labs, capstones, and hackathons.
• Review and update content based on trends and feedback.
• Collaborate with designers and academic partners to improve outcomes.
• Provide technical guidance to trainers and enable faculty programs.
• Stay updated with AI/ML tech and integrate into curriculum.

Skills

Curriculum design

AI/ML pedagogy

Python programming

Data visualization

Mentoring

Lab material development

Instructor-led delivery

Academic collaboration

Education

Bachelor's or Master's in CS/IT/AI/DS

BE/B.Tech or MCA encouraged

Tools

Jupyter Notebook

Power BI/Tableau

TensorFlow/PyTorch

REST APIs (Flask/FastAPI)

Docker

Job description

Data Science Artificial Intelligence Data Visualization Machine Learning Deep Learning

Master of Technology (MTech) Master of Computer Applications (MCA) Bachelor of Engineering (BE)

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