Technology Trainer – AI / ML / GenAI

Revature; Chennai District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Revature India is seeking an accomplished Trainer to join its AI First Academy as a full‑time faculty, embedded at a flagship partner university campus in Chennai, Tamil Nadu.

The role involves end‑to‑end design and delivery of Python Programming and Generative AI programmes for student cohorts, building structured learning paths from AI Foundations to advanced courses across Computer Science departments.

Qualifications

• 2–4 years of experience as a trainer in Python, FastAPI and full‑stack development (using Django or SPA).
• Experience in AI native development using LangChain or Llama Index or similar, with GenAI models.
• Strong foundation of AI/ML concepts such as RAG, Agentic and MCP.
• Cloud deployment, resource provisioning, and management experience.
• Strong knowledge in Data Structures and Algorithms and databases (RDBMS).
• Strong experience and knowledge in System design thinking and design patterns.
• React or Vue.js proficiency.
• Proven training and facilitation experience, with the ability to communicate complex technical concepts to diverse audiences.
• Experience creating training artifacts including course content, 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.

Responsibilities

• 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 programmes — foundational and intermediate — with a focus on hands‑on practice and domain application.
• Deploy active learning methodologies — case studies, and live demos — to drive learner engagement and real‑world applications.
• Develop course content, lab exercises, capstone projects, and assessment rubrics, alongside high quality slide decks and trainer‑support materials.
• Design assessments that comply with university examination norms while incorporating project‑based evaluation.
• Review, score and provide actionable feedback for the assessments submitted by the students.
• Deliver high‑quality instructor‑led sessions covering Python Programming, AI, GenAI, ML and Data Science.
• 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, HackerRank, and LeetCode to build applied problem‑solving skills
• Conduct doubt‑clearing sessions and remedial support for students with varying levels of expertise Goverance & Thought Leadership
• Maintain accurate records of attendance, assessments, and learning progress in line with institutional reporting requirements.
• 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, education technology- regularly upskill and incorporate into the courses.

Skills

Python Programming

FastAPI

Full stack development

GenAI concepts

RAG

Agentic AI

MCP

Cloud deployment

Data Structures

Algorithms

Databases

System design thinking

React

Vue.js

Tools

LangChain

Llama Index

Django

React

Vue.js

Job description

Revature India is seeking an accomplished Trainer to join its AI First Academy as a full-time faculty,

embedded at a flagship partner university campus in Chennai, Tamil Nadu. This is a high-impact, institution facing role that sits at the intersection of applied technology and transformational pedagogy.

The Trainer will own the end-to-end design and delivery of Python Programming and Generative AI

programmes across student cohorts. Working as a trainer, the incumbent will build structured learning pathways - from AI Foundations to advanced AI courses for Computer Science and other departments - while delivering measurable AI literacy outcomes across the institution.

About us:

Revature trains early-career software engineers and places them with Fortune 500 clients and IT Consultancies across the US. We’ve launched 10,000+ engineers into technology careers in the past 10 years. Our trainers are the reason it works.

• 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 programmes — foundational and intermediate — with a focus on hands‑on practice and domain application
• Deploy active learning methodologies — case studies, and live demos — to drive learner engagement and real‑world applications.
• Develop course content, lab exercises, capstone projects, and assessment rubrics, alongside high quality slide decks and trainer‑support materials.
• Design assessments that comply with university examination norms while incorporating project‑based evaluation
• Review, score and provide actionable feedback for the assessments submitted by the students
• Deliver high‑quality instructor‑led sessions covering Python Programming, AI, GenAI, ML and Data Science.
• 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, HackerRank, 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.
• 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, education technology- regularly upskill and incorporate into the courses.

QUALIFICATIONS & EXPERIENCE

• 2 - 4 years of experience as a trainer in Python, FastAPI and full stack development experience (using Django or Single Page Applications.
• 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
• React or VueJs
• 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.
• Good amount of exposure to NoSQL databases
• Hands‑on industry experience in AI/ML, Data Science, or Generative AI.
• Active certifications in AI/ML — e.g., Google AI, DeepLearning.AI, Microsoft Azure AI, etc
• Published research, blog contributions, or conference presentations in AI or AI‑in‑education.

WHAT REVATURE OFFERS

• A unique mandate to build an AI learning culture from the ground up at a leading university.
• A high‑visibility role at the centre of a large AI‑native learning initiative, working alongside faculty, students, and senior Revature operations leadership.
• Competitive compensation aligned with industry norms for senior academic‑professional roles.
• Encouragement and support for personal research, publications, and conference participation.
• A collegial, mission‑driven environment committed to student success and academic excellence

Equal Opportunity Employer:

Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.

We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.