Lead Data Scientist+ Instructor

About Us

Newton School is on a mission to redefine tech education in India. Backed by leading global investors (RTP Global, Nexus, Kunal Shah, and more), we are building a next-generation Tech Institute to bridge the employability gap for millions of graduates.

Rishihood University (Sonipat)

Role Overview

Data Scientist + Instructor (AI/ML)

Key Responsibilities:

1. Lead Applied AI/ML Instruction

• Design and deliver high-impact, project-driven courses in AI/ML covering areas like Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, Computer Vision, ML Ops, and Generative AI.
• Foster deep conceptual understanding through real-world examples and case studies.

2. Drive Curriculum Innovation

• Develop and continuously evolve the AI/ML curriculum to stay aligned with cutting-edge tools, techniques, and emerging industry trends.
• Bring industry insights, best practices, and recent advancements into academic learning.

3. Mentor & Guide Learners

• Supervise and mentor students on AI/ML projects — from ideation to deployment.
• Provide regular technical feedback, code reviews, and guidance on applying ML techniques to solve real-world challenges.

4. Academic Leadership

• Collaborate with other faculty and program leaders to enhance the academic experience.
• Lead academic sessions, guest lectures, and workshops that bridge industry knowledge with classroom learning.

5. Research & Continuous Learning

• Stay abreast of the latest research in AI/ML and integrate it into teaching and applied projects.
• Encourage students to explore open-source contributions, research papers, and real-world problem-solving.

Required Qualifications & Experience:

• Bachelor’s or Master’s degree

   in Computer Science, Engineering, Data Science, or related field (PhD preferred).

• 7+ years of professional experience

   as a Data Scientist, AI/ML Engineer, or Research Scientist with proven experience in developing, training, and deploying machine learning models at scale.

• Demonstrated teaching, mentoring, or corporate training experience

   — ability to communicate complex concepts clearly and effectively to diverse audiences.
• Deep understanding of 

  classical ML algorithms

   and 

  Deep Learning architectures

   (CNNs, RNNs, Transformers).
• Strong foundation in 

  statistics, data processing, model evaluation, and optimization techniques.

Required Skills:

Technical Expertise:

• Advanced proficiency in 

  Python

   and data science libraries (

  Pandas, NumPy, Scikit-learn

  ).
• Strong experience with 

  TensorFlow, PyTorch

  , and modern ML/DL pipelines.
• Solid understanding of 

  SQL, data preprocessing

  , and feature engineering.
• Familiarity with 

  MLOps tools and practices

   (Git, Docker, AWS/GCP/Azure).
• Applied knowledge in 

  NLP, Computer Vision, and Generative AI/LLMs

  .

Soft Skills:

• Exceptional communication and presentation abilities.
• Empathy, patience, and passion for teaching and mentoring.
• Strong collaboration and leadership mindset.

Good-to-Have:

• Prior experience in an 

  academic or edtech environment

   teaching data science or AI/ML.
• Contributions to research, publications, or open-source AI/ML projects.
• Experience designing 

  academic assessments, workshops, or capstone projects

  .