About Newton: 

Newton School of Technology (NST) is a next-generation institution transforming technical education in India. Founded by IIT alumni, NST offers a 4-year B.Tech in Computer Science and AI with a strong focus on hands-on learning and industry integration. Within two years, over 93% of students have secured paid internships at leading organisations such as Razorpay, SarvamAI, and DRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Backed by a distinguished faculty of ICPC World Finalists and professionals from ISRO, Microsoft, MakeMyTrip, and other top tech companies, NST is building a scalable model to produce industry-ready talent for cutting-edge technology roles.

About the Role: 

We are seeking a Data Scientist + Instructor (AI/ML) to join our Computer Science Department. This role is ideal for industry professionals passionate about AI and Machine Learning who want to shape future tech talent. The position blends hands-on technical expertise with teaching, including course design, lab sessions, and student mentorship, while collaborating with academic leaders and industry partners to deliver industry-relevant, outcome-driven learning.

Key Responsibilities: 

● Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).

● Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.

● 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 skills, understanding career paths in AI/ML, and preparing for internships and job placements.

● Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.

● Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.

● Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications. 

Qualifications and Requirements: 

● Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field. 

● 7+  years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.

● Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.

● Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical & deep learning – CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.

● Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.) 

Required Skills:

● Technical: Expert-level Python programming.
● Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
● Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
● Strong SQL and data handling skills.
● Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
● Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
● Soft Skills: Strong communication, mentoring ability, collaboration, and a genuine passion for education.

Good-to-Have: 

● Prior teaching experience at the undergraduate or graduate level.
● Familiarity with modern teaching methodologies and academic.