Website:
newtonschooloftechnology.com
Job details:
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
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