Assistant/Associate Professor - AI/ML

Key Responsibilities:

• Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML, including Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, Computer Vision, MLOps, and Generative AI.
• Develop Industry-Relevant Curriculum: Design and continuously update AI/ML curriculum to reflect current industry tools, techniques, research, and best practices.
• 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 AI/ML skills, understanding career pathways, and preparing for internships and placements.
• Stay Current: Bring the latest AI/ML research, tools, technologies, and industry trends into the classroom.
• Collaborate: Work closely with faculty members, academic leaders, and industry partners to create a unified and effective learning experience.
• Assess Practical Skills: Design and evaluate assignments, projects, examinations, and assessments focused on real-world applications.
• Academic Leadership: Contribute to academic initiatives, faculty development, research activities, and continuous improvement of teaching and learning practices.

Qualifications and Requirements:

• M.Tech or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related discipline; or UGC NET-qualified with a relevant Masters degree in the respective field.
• 5+ years of relevant professional/academic experience in AI/ML, Data Science, Machine Learning, Computer Science, or a closely related domain.
• Proven experience in teaching, training, mentoring, research, or building and deploying AI/ML solutions.
• Strong understanding of core ML algorithms, classical and deep learning techniques, including CNNs, RNNs, Transformers, model evaluation, and statistics.
• Strong understanding of current AI/ML research, tools, technologies, and industry trends.
• Ability to design and deliver high-quality technical courses and practical learning experiences.
• Passion for teaching, mentoring, and developing students into industry-ready technology professionals.

Required Skills:

Technical:

• Expert-level Python programming.
• Strong proficiency with data science libraries such as Pandas, NumPy, and Scikit-learn.
• Hands-on experience with ML/DL frameworks such as TensorFlow and PyTorch.
• Strong SQL and data handling skills.
• Understanding of MLOps practices and tools including Git, Docker, and cloud platforms such as AWS/GCP/Azure.
• Strong knowledge of AI domains including NLP, Computer Vision, Generative AI, and LLMs.

Soft Skills:

• Excellent communication and presentation skills.
• Strong mentoring and student engagement abilities.
• Collaboration and academic leadership skills.
• Ability to simplify and explain complex technical concepts.
• Genuine passion for education and student development.

Good-to-Have:

• PhD in Computer Science, AI/ML, Data Science, or a related field.
• Prior teaching experience at the undergraduate or graduate level.
• Research publications, patents, or contributions to AI/ML research.
• Experience mentoring technical teams, researchers, or engineering professionals.
• Familiarity with modern teaching methodologies and academic tools.
• Industry experience in building and deploying production-grade AI/ML systems.

Location: Across all NST Campuses - Sonipat, Pune, Bangalore

Joining: Immediate Joiners Preferred