• 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

Required Skills