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:

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or similar field.
1-5 years of hands-on professional experience as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role.
Proven experience building, training, and deploying machine learning models, including deep learning.
Strong grasp of core ML algorithms (classical and deep learning, CNNs, RNNs, Transformers), model evaluation, statistics, and industry trends.
Passion for teaching and mentoring, including experience in corporate training, workshops, project supervision, or technical content creation.

Required Skills:

Good-to-Have:

Data Scientist + Associate Instructor