Data Scientist + Instructor + SME – AI / ML

Job Description

Department

Artificial Intelligence

Job Description

About: Newton School is on a mission to redefine tech education in India. Backed by global investors (RTP Global, Nexus, Kunal Shah, and more), we are building a Tech Institute to solve the employability gap for millions of graduates. In collaboration with Rishihood University (Sonipat), Ajeenkya DY Patil University (Pune), and S-VYASA University (Bangalore), we’re creating the next generation of industry-ready tech leaders.

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

Required Qualifications & Experience

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory. )
4-6 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

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 tools.
Perks & Benefits

Competitive salary packages aligned with industry standards.
Access to state-of-the-art labs and classroom facilities.
Opportunity to contribute to cutting-edge academic work in collaboration with Newton School of Technology and Rishihood University

Mandatory Skills

Artificial Intelligence, Machine Learning, Python, Computer Vision, Numpy, Pandas