Data Scientist + Instructor (Teaching role)

: ● Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI). ● Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies. ● Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. ● Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. ● Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom. ● Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience. ● Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.

and

: ● Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.) ● 5+ years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment. ● Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems. ● Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical & deep learning – CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends. ● Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)