The Master Trainer will serve as the lead instructor and domain expert, responsible for delivering, structuring, and maintaining the end-to-end quality of the "AI Business Fundamentals for the AI Age" program.
Core Responsibilities
Curriculum Delivery:
Lead engaging and practical training sessions covering the 12-module syllabus, translating complex AI/ML/GenAI concepts into strategic business insights.
Content Development:
Continuously update course materials, case studies (Netflix, Tesla, Unilever), and hands-on exercises to reflect the latest trends (e.g., Agentic AI, GenAI tools, global regulations).
Capstone Mentorship:
Guide participants through the final business simulation and capstone project, from AI problem framing to ROI measurement and leadership presentation.
Technical Deep-Dives:
Provide hands-on instruction and practical intuition in Machine Learning, Data Engineering, MLOps, and the various AI stacks (e.g., Google Vertex AI, AWS SageMaker).
Strategic Integration:
Ensure participants understand how to transition from data-driven to AI-augmented decision-making and measure success using AI Impact Parameters (AIPs) like precision and interpretability.
Ethical Leadership:
Champion responsible AI practices, including teaching concepts of bias mitigation, transparency auditing, and adherence to global regulations (e.g., EU AI Act, Indian DPDP Act).
Guest Speaker Management:
Coordinate and collaborate with domain-specific Guest Speakers to integrate specialized content seamlessly into the main curriculum.
Required Qualifications & Skills
Educational Background
Master's degree or higher in a quantitative or business-technology field (e.g., Data Science, AI, MBA).
Experience
Minimum
8+ years
in an AI/Data Science-related field, with significant experience in corporate training, consulting, or an academic role.
Proven track record of designing and deploying enterprise-level AI/ML solutions in real-world business scenarios (Finance, Marketing, Supply Chain, or HR).
Key Skills
Strong Technical Fluency:
Python, ML/DL frameworks (TensorFlow, PyTorch), and cloud AI platforms (AWS, Azure, GCP).
Exceptional Communication:
Superior presentation, verbal, and written communication skills to articulate complex technical ideas to a non-technical audience (business leaders/executives).
Business Acumen:
Deep understanding of business functions and how to quantify the value of AI (AI ROI Measurement, Predictive/Prescriptive Analytics).
Adaptability:
Ability to adapt training style to various learning levels and a commitment to continuous learning in the fast-evolving AI landscape.
Job Type: Full-time
Pay: ₹60,000.00 - ₹120,000.00 per month
Work Location: In person
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