Job Title:
Trainer Artificial Intelligence & Machine Learning (AI/ML)
Dr. Reddy's Foundation Centre for Future Ready Skilling and Innovation

Department
Future Ready Skilling and Innovation Program Duration
90 Days (Residential / Centre-Based) Employment Type
Full-Time / Contract Target Participants
Unemployed Graduates (Entry-Level Skilling)

Reports To Centre Manager

Location Indore

About Dr. Reddys Foundation

Dr. Reddys Foundation (DRF) is a not-for-profit organisation with over 30 years of experience in the skill development sector across India. Our flagship initiatives equip unemployed youth with job-ready competencies and connect them to meaningful entry-level employment across industries. As the skilling landscape rapidly evolves, DRF is expanding its portfolio to include future-ready Artificial Intelligence and Machine Learning programs helping young Indians thrive in a technology-driven economy.
Role Purpose

The Trainer will anchor and deliver the 90-day Artificial Intelligence & Machine Learning (AI/ML) program designed for unemployed graduates. The role combines sound technical knowledge of AI/ML concepts, data handling, model development, and practical AI applications with the ability to make complex concepts accessible to first-time learners. The Trainer will be responsible for end-to-end curriculum delivery, hands-on lab and project facilitation, learner progress assessment, and ensuring that every participant exits the program with practical, employment-ready skills.
Key Responsibilities

Training Delivery
Deliver the full 90-day AI/ML curriculum across modules with clarity, energy, and learner-centred pedagogy
Facilitate hands-on practice sessions using Python, Jupyter Notebook/Google Colab, Pandas, NumPy, scikit-learn, TensorFlow or PyTorch, and relevant AI/ML tools
Adapt instructional approaches to the varying technical backgrounds of graduate-level participants with little or no prior AI exposure
Conduct live demonstrations, coding walkthroughs, model-building exercises, and real-world AI/ML use-case simulations during sessions
Maintain a structured daily session plan aligned to the program timeline and learning outcomes

Learner Engagement & AssessmentMonitor individual and cohort-level progress through formative checks, quizzes, and project reviews
Provide timely, actionable feedback on assignments, datasets, Python code, ML models, and project outputs built by participants
¢ Identify at-risk learners early and deploy remedial support or differentiated instruction as needed
¢ Foster a psychologically safe and inclusive classroom environment,



especially for first-generation tech learners
¢ Guide participants through end-to-end AI/ML capstone projects: problem identification, data collection/cleaning, exploratory analysis, model selection, evaluation, deployment/demo, and documentation
Curriculum & Content
¢ Review and refine module content, exercises, and assessments prior to each cohort rollout
¢ Develop supplementary learning resources (cheat sheets, coding notebooks, video guides, datasets, and practice exercises) to support self-paced revision
¢ Keep content current by integrating the latest developments in AI/ML techniques, frameworks, tools, and platforms
¢ Collaborate with the curriculum team and Program Manager to incorporate participant feedback and improve future batches
Industry Alignment & Placement Support
¢ Contextualize learning through real-world AI/ML use cases relevant to entry-level roles in IT, analytics, business operations, healthcare, retail, and other sectors
¢ Support the placement team by preparing participants with relevant AI/ML portfolio projects, GitHub repositories, model demonstrations, and project documentation
¢ Participate in employer engagement sessions and demo days to showcase cohort outcomes
Reporting & Coordination
¢ Maintain accurate attendance, assessment, and progress records for every participant
¢ Submit weekly session reports and flag concerns to the Program Manager
¢ Coordinate with the operations and logistics team to ensure equipment, internet access, and software licences are ready for each session
Qualifications & Experience

Minimum Qualifications
¢ Bachelors degree in Computer Science, Information Technology, Engineering, or a related field
¢ 24 years of hands-on experience in Artificial Intelligence, Machine Learning, data analytics, or software development
¢ Prior experience in training, teaching, or facilitation of technical content (even informally or voluntarily)
¢ Demonstrable ability to build, train, evaluate, and demonstrate machine learning models using Python and relevant ML libraries
¢ Proficiency in Python programming, data manipulation, and AI/ML model development
Preferred Qualifications
¢ Prior experience training learners from non-technical or first-generation graduate backgrounds




¢ Certification in relevant areas such as Artificial Intelligence, Machine Learning, Data Science, Python, or cloud AI platforms
¢ Exposure to Development Sector / NGO / social enterprise environments
¢ Experience facilitating project-based learning and guiding capstone or portfolio projects
¢ Familiarity with Learning Management Systems (LMS) and digital assessment tools

Technical Skills Required

Candidates must be able to teach and demonstrate practical usage of the following tools and concepts:

CategoryTools / AreasProficiency LevelAI & ML FundamentalsAI concepts, supervised/unsupervised learning, model lifecycle, responsible AIWorking proficiencyProgrammingPython, functions, data structures, libraries, debuggingIntermediate to AdvancedData AnalysisNumPy, Pandas, data cleaning, exploratory data analysis, visualization (Matplotlib/Seaborn)Intermediate to AdvancedMachine Learningscikit-learn, regression, classification, clustering, feature engineering, model evaluationIntermediate to AdvancedDeep LearningNeural networks, TensorFlow or PyTorch, basic NLP and computer vision conceptsWorking proficiencyGenerative AILLMs, prompt engineering, embeddings, RAG basics, AI application developmentWorking proficiencyTools & PlatformsJupyter Notebook, Google Colab, GitHub, VS Code, basic command lineIntermediate
Competencies & Personal Attributes

¢ Exceptional ability to simplify complex AI/ML and technical concepts for non-technical learners
¢ High learner empathy patient, encouraging, and sensitive to the socio-economic backgrounds of participants
¢ Strong spoken and written communication in English; proficiency in Hindi or a regional language is an advantage
¢ Proactive curiosity to stay current in the fast-moving AI/ML landscape
¢ Structured, self-driven work style with ability to manage a full training day independently
¢ Collaborative mindset for working within a mission-driven, cross-functional team
¢ Commitment to DRFs mission of equitable access to quality skilling for underserved youth
What We Offer

¢ An chance to directly impact the employability of hundreds of young graduates across India
¢ Competitive compensation commensurate with experience and sector norms
¢ Access to relevant AI/ML tools, learning subscriptions, and continuous career development support
¢ A collaborative, mission-driven environment with a 30-year legacy in skill development
¢ Opportunity to contribute to curriculum design and shape the future of DRFs AI/ML skilling portfolio.
Dr. Reddys Foundation ¢ Page 1 of 5

📌 AI &MI Trainer (Indore)
🏢 Dr Reddys Foundation (DRF)
📍 Indore