Data Scientist + Associate Instructor

Key Responsibilities :

• Teach Applied AI / ML : Design and deliver practical, project-based courses in AI / ML, including Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, Computer Vision, ML Ops, and Generative AI.
• Develop Industry-Relevant Curriculum : Design and update the AI / ML curriculum to reflect current industry tools, techniques, and best practices, incorporating professional experience and case studies.
• Mentor Student Projects : Guide students through hands-on AI / ML projects, providing technical direction, code reviews, and feedback.
• Guide & Mentor Students : Advise students on practical skills, career paths in AI / ML, and preparation for internships and job placements.
• Stay Current : Maintain expertise in the latest AI / ML trends and technologies, integrating knowledge into teaching.
• Collaborate : Work with industry-expert faculty and staff to create a unified learning experience.
• Assess Practical Skills : Create and evaluate assignments, projects, and assessments focused on practical application and understanding.

Required Qualifications & Experience :

Required Skills :

Good-to-Have :

Skills Required

Python, Pandas, Numpy, Tensorflow, Pytorch