About the role

Senior Faculty (AI/ML)

Job Summary:

The Senior Faculty in AI/ML will play a vital role in shaping the future of aspiring data scientists and engineers by delivering advanced sessions in Machine Learning, Deep Learning, and Artificial Intelligence. This position involves the enhancement of industry-aligned curricula, conducting code reviews, and providing mentorship for capstone projects, thereby directly impacting the quality of education provided to our students.

Key Responsibilities:

Deliver engaging and informative lectures on Machine Learning, Deep Learning, and Artificial Intelligence to a diverse group of learners.
Enhance and continuously update the curriculum to ensure alignment with industry standards and emerging trends.
Conduct thorough code reviews to assess student projects and provide constructive feedback to foster learning.
Lead and mentor students through capstone projects, guiding them from ideation to implementation.
Facilitate interactive workshops and hands-on sessions to ensure a practical understanding of AI/ML concepts.
Collaborate with academic and administrative staff to enhance the educational experience and outcomes for students.
Engage in ongoing professional development to remain current with AI/ML advancements and educational methodologies.

Requirements:

M.Tech or B.Tech in Computer Science, Information Technology, AI/ML, Data Science, or related technical fields.
Experience ranging from fresh/early career (for junior/TA tracks) to 4+ years of practical tech/teaching experience for senior faculty roles.
Proficient in coding and problem-solving fundamentals, particularly in Python, Java, C++, or relevant ML frameworks.
Outstanding communication skills, capable of articulating complex concepts in an understandable manner.
An interactive and student-first teaching style that encourages active participation and deep learning.
A strong commitment to fostering a positive learning environment and advancing student success.

Preferred Qualifications:

Proven experience in developing and implementing AI/ML curricula.
Previous teaching experience at a higher education institution or equivalent experience in a corporate training environment.
Engagement in AI/ML research or contributions to open-source projects in the field.
Familiarity with online teaching methodologies and digital education tools.

Benefits:

Competitive salary package commensurate with experience and qualifications.
Access to state-of-the-art resources and technology for teaching and research.
Flexible work hours to facilitate a healthy work-life balance.
Continuous professional development opportunities, including workshops and conferences.
A collaborative and inclusive work environment that values innovation and diversity.
Health and wellness benefits to support employee well-being.