We are looking for an applied ML engineer or data scientist to create a recorded, project-based course for university students applying for AI/ML internships and new graduates preparing for entry-level roles. The course should be built around a simulated business scenario, such as anomaly detection, predictive analytics, or operational data monitoring. It should be practical, job-focused, and help students strengthen their resumes, GitHub portfolios, and interview readiness. Deliverables: -End-to-end AI/ML project -Recorded video lessons totaling approximately 5 hours, broken into short modules -Source code and project files -Project documentation -A short project summary for student reference Preferred: -Industry experience in applied ML, AI, or data science -Strong Python, pandas, and scikit-learn skills -Experience creating training materials -Clear communication and teaching ability Please share your background, relevant samples, rate, and estimated timeline.