Data Scientist + Instructor(AI/ML)

Data Scientist + Instructor(AI/ML)

Experience: Years Exp

Salary: Competitive

Preferred Notice Period: Upto 30 Days

Opportunity Type: Office (Sonipat)

Placement Type: Full-time

Note: This is a requirement for one of Uplers' Clients Newton School

Must have skills: Machine Learning AND NLP AND Generative AI

About Newton School:

Come be part of a rocket ship thats creating a massive impact in the world of education On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan's Sujeet Kumar among others.

Role Overview:

We are looking for a Data Scientist + Instructor (AI/ML) to join our academic-technology team at Rishihood University (Sonipat). This role blends hands-on AI/ML expertise with academic mentorship, ideal for professionals who have made a mark in the data science industry and are passionate about shaping the next generation of AI talent.

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.

1. 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.

1. 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.

1. 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.

1. 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).
• 4+ 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.

Perks & Benefits:

• Competitive salary packages aligned with senior-level industry standards
• Opportunity to shape India's future AI education landscape.
• Access to world-class labs, infrastructure, and interdisciplinary collaborations.
• Work alongside top educators, industry veterans, and researchers.

How to apply for this opportunity?

Easy 3 Step Process:

• Click On Apply and register or log in to our portal
• Upload updated Resume & complete the Screening Form
• Increase your chances of getting shortlisted & meet the client for the Interview

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you