About Newton:

Newton School of Technology (NST) is a new-age institution redefining technical education in India. Founded by IIT alumni, NST offers a 4-year B.Tech in Computer Science and AI, focused on hands-on learning and deep industry integration. Within two years, over 93% of students have secured paid internships with companies like Razorpay, SarvamAI, and DRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Led by a distinguished faculty comprising ICPC World Finalists and ex-professionals from ISRO, Microsoft, MakeMyTrip, and several other leading tech organizations, NST is building a scalable, high-impact model that produces industry-ready talent for the world's most advanced technology roles.

About the Role:

Assistant/Associate Professor - AI/ML

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, MLOps, and Generative AI.
Develop Industry-Relevant Curriculum: Design and continuously update AI/ML curriculum to reflect current industry tools, techniques, research, and best practices.
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 AI/ML skills, understanding career pathways, and preparing for internships and placements.
Stay Current: Bring the latest AI/ML research, tools, technologies, and industry trends into the classroom.
Collaborate: Work closely with faculty members, academic leaders, and industry partners to create a unified and effective learning experience.
Assess Practical Skills: Design and evaluate assignments, projects, examinations, and assessments focused on real-world applications.
Academic Leadership: Contribute to academic initiatives, faculty development, research activities, and continuous improvement of teaching and learning practices.
Qualifications and Requirements:
M.Tech or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related discipline; or UGC NET-qualified with a relevant Masters degree in the respective field.
5+ years of relevant professional/academic experience in AI/ML, Data Science, Machine Learning, Computer Science, or a closely related domain.
Proven experience in teaching, training, mentoring, research, or building and deploying AI/ML solutions.
Strong understanding of core ML algorithms, classical and deep learning techniques, including CNNs, RNNs, Transformers, model evaluation, and statistics.
Strong understanding of current AI/ML research, tools, technologies, and industry trends.
Ability to design and deliver high-quality technical courses and practical learning experiences.
Passion for teaching, mentoring, and developing students into industry-ready technology professionals.

Technical Skills required:

Expert-level Python programming.
Strong proficiency with data science libraries such as Pandas, NumPy, and Scikit-learn.
Hands-on experience with ML/DL frameworks such as TensorFlow and PyTorch.
Strong SQL and data handling skills.
Understanding of MLOps practices and tools including Git, Docker, and cloud platforms such as AWS/GCP/Azure.
Strong knowledge of AI domains including NLP, Computer Vision, Generative AI, and LLMs.

Soft Skills:

Excellent communication and presentation skills.
Strong mentoring and student engagement abilities.
Collaboration and academic leadership skills.
Ability to simplify and explain complex technical concepts.
Genuine passion for education and student development.
Handling a team

Assistant/Associate Professor - AI/ML (Sonipat)