Technology Trainers – Python Full Stack & Generative AI

Chennai, Tamil Nadu, India

KEY RESPONSIBILITIES

Curriculum Design & Delivery

Own and continuously improve the AI Foundations curriculum delivered to college students across

departments, ensuring coverage of core concepts and facilitate structured assessments

Design and deliver tiered AI and ML programs — foundational, intermediate and advanced — with a

focus on hands-on practice and domain application

Deploy active learning methodologies — hackathons, workshops, case studies, and live demos — to

drive learner engagement and real-world applications.

Develop course content, lab exercises, capstone projects, and assessment of rubrics, alongside high-

quality slide decks and trainer-support materials.

Design assessments aligned to university exam norms while incorporating project-based evaluation
Review, score and provide actionable feedback for the assessments submitted by the students

Training & Mentorship

Deliver high-quality instructor-led sessions covering Python programming, AI, GenAI, ML, Data Science

and Automation.

Facilitate hands-on labs and project mentoring, guiding students through real-world problem-solving.
Administer project-based assessments, exams, evaluate and share feedback.
Guide students through competitive platforms such as Kaggle, Hacker Rank, and LeetCode to build

applied problem-solving skills

Conduct doubt-clearing sessions and remedial support for students with varying levels of expertise

Governance & Thought Leadership

Maintain accurate records of attendance, assessments, and learning progress in line with institutional

reporting requirements.

Define KPIs and a measurement framework to track AI literacy outcomes and program effectiveness.
Establish guidelines and build awareness of the ethical and responsible use of AI tools by students.
Manage the provisioning and usage monitoring of cloud resources and LLM tokens, ensuring equitable

access and responsible consumption across student cohorts.

Monitor global trends in AI and education technology and regularly incorporate into the courses.

QUALIFICATIONS & EXPERIENCE

Essential

5 - 8 years of hands-on industry experience in Python, FastAPI and full stack development experience

(using Django or Single Page Applications).

Min 2 years of experience in AI native development using industry framework such as Lang chain or

Llama Index or similar one, using GenAI models.

Strong foundation of AI/ML concepts such as RAG, Agentic and MCP
Strong cloud experience with application deployment, cloud resource provisioning, and management.
Strong knowledge in Data Structure and Algorithms and data base (any RDBMS)
Strong experience and knowledge in System design thinking and design principles and patterns
Good experience in web technologies such as HTML, CSS, JavaScript, TypeScript and Angular or

React or VueJs

Hands on cloud native application development experience
Proven training and facilitation experience, with the ability to communicate complex technical concepts

to diverse audiences.

Experience creating training artifacts including course content, hands-on labs, projects, etc.
Strong grounding in pedagogy, learning outcome design, and competency-based assessment.
Ability to collaborate with interdisciplinary stakeholders to design academically rigorous, industry-

relevant curricula.

Preferred

Experience in a technology services or product company environment.
Handson of experience in NoSQL databases
Track record of leading AI transformation or curriculum reform initiatives.
Active certifications in AI/ML e.g., Google AI, Microsoft Azure AI, NVIDIA Deep Learning, etc.