Bangalore, Karnataka, India
Information Technology
Full-Time
Newton School
Overview
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
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
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
- 1–3 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.)
- 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.
- Prior teaching experience at the undergraduate or graduate level.
- Familiarity with modern teaching methodologies and academic tools.
- 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
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