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Newton School

Assistant/Associate Professor - AI/ML

Pune · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 258d ago

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Skills required

5 listed
Student Learning OutcomesTechnology EducationArtificial IntelligenceMachine LearningStudent Development
Student Learning OutcomesTechnology EducationArtificial IntelligenceMachine LearningStudent Development

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Job description

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

Department

NST

Open Positions

3

Mandatory Skills

Teaching, Machine Learning, Computer Science, Computer Science Faculty

Experience

5 to 15 years

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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