Assistant/Associate Professor - AI/ML

About Us: At Newton School of Technology, in collaboration with Ajeenkya DY Patil University , we’re on a mission to reshape the future of technology education in India. Together, we are working to bridge the employability gap by equipping learners with relevant, industry-ready skills and creating meaningful impact at scale. With the combined strength of academic excellence and hands-on industry experience, we are building a forward-looking learning environment designed to nurture the next generation of tech innovators, problem-solvers, and leaders.

Job Summary:  We are looking for enthusiastic and committed Associate Professors to join our growing Computer Science department at our Pune campus, with a focus on Artificial Intelligence and Machine Learning . If you are passionate about teaching, excited about mentoring young minds, and eager to contribute to cutting-edge academic work in AI/ML, we would love to meet you. You will play a key role in shaping strong, industry-ready talent in this rapidly evolving field.

Your responsibilities will include delivering impactful lectures, developing relevant AI/ML curriculum, guiding students through labs and real-world projects, and contributing to the academic growth of the department.

Key Responsibility Areas: Teaching & Learning

• Teach and engage students in Artificial Intelligence, Machine Learning, and related subjects .

• Build and refine AI/ML course content to keep it relevant, industry-aligned, and impactful.

• Lead lab sessions, support hands-on learning, and guide students through AI/ML projects and research work.

• Provide consistent academic support through mentoring, tutoring, and doubt-solving.

Academic Ownership & Innovation

• Take ownership of student learning outcomes and overall academic quality in AI/ML programs.

• Lead or contribute to AI/ML research initiatives, innovation projects, and departmental development.

• Cultivate a supportive, collaborative, and inspiring learning environment.

Collaboration & Administration

• Work collaboratively with faculty, academic teams, and industry partners to enhance AI/ML learning experiences.

• Actively participate in department events, academic committees, and institutional initiatives.

• Build strong relationships with students and colleagues to support a vibrant academic culture.

Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

• Prior experience in teaching, mentoring, or academic roles is a plus.

• Strong communication skills and a passion for teaching and student development.

• Familiarity with industry tools, frameworks, and technologies relevant to AI/ML.

Perks & Benefits

• Competitive compensation and benefits

• Opportunities for research, publications, and academic collaborations in AI/ML

• Access to modern labs, tools, and state-of-the-art learning facilities

• Freedom to innovate and influence the next generation of AI practitioners

• A warm, collaborative academic community that values growth and mentorship