Senior Data Scientist + Instructor - AI & ML

Newton School; Maharashtra; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Newton School invites experienced AI/ML educators to join as senior faculty in Maharashtra. You will design and deliver hands-on Applied AI/ML courses (Python for ML, NLP, CV, GenAI), mentor projects, and help shape an industry-aligned curriculum with real-world case studies.

Lead and collaborate with a diverse team of experts, stay current with AI research, and prepare students for internships and placements through project work, assessments, and industry partnerships.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field. PhD valued but not mandatory.
• 6+ years of direct, hands-on professional AI/ML experience in the tech industry as AI/ML Engineer, Data Scientist, or similar role.
• Proven track record: building, training, deploying ML models (including deep learning) for real-world problems.
• Strong grasp of core ML algorithms (CNNs, RNNs, Transformers) and evaluation, plus awareness of current research trends.
• Passion for teaching and mentoring; formal teaching experience not mandatory.

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: update AI/ML curriculum reflecting current industry tools and practices with your experience and case studies.
• Mentor Student Projects: provide technical direction, code reviews, and feedback on AI/ML projects.
• Guide & Mentor Students: advise on practical skills, career paths in AI/ML, internships, and placements.
• Stay Current: bring latest AI/ML research, tools, and trends into the classroom.
• Collaborate: work with expert faculty and staff to create a unified learning experience.
• Assess Practical Skills: design and evaluate assignments and projects focused on real-world applications.

Skills

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Git

Docker

AWS

GCP

Azure

NLP

Computer Vision

Generative AI/LLMs

Communication

Education

Bachelor's or Master's in Computer Science/Engineering/Data Science/AI/ML

PhD is valued but not mandatory

Tools

Git

Docker

AWS

GCP

Azure

Job description

About the Company:

Newton School of Technology (NST) is a new-age institution redefining technical educationin 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%ofstudents have secured paid internships with companies like Razorpay, SarvamAI, andDRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Ledby a distinguished faculty comprising ICPC World Finalists and ex-professionals from ISRO,Microsoft, MakeMyTrip, and several other leading tech organizations, NST is building ascalable, high-impact model that produces industry-ready talent for the world’s mostadvanced technology roles.

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. (PhD is valued but not mandatory.)
• 6+ 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:

• 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.

• Be part of a mission-driven team bridging the gap between education and employability
• through hands-on, industry-focused learning. Work with ICPC world finalists, ex-Googlers,
• ex-ISRO scientists, and IIT/IISc mentors from Google, CRED, Swiggy, and Goldman Sachs.
• Gain real-world exposure through AI, open-source, and government-backed projects with
• IITs. Learn Full Stack Development, Data Science, and DevOps with a placement-driven
• curriculum, mock interviews, and 2,000+ hiring partners. Shape India’s next generation of