AI Engineering Trainer / Faculty

Job Title: AI Engineering Trainer / Faculty

Department: Computer Science / Artificial Intelligence / Engineering / Information Technology

Location: K. R. Mangalam University, Gurugram Sohna Rd Hwy, Haryana 122103

Job Type: Full-time

• Deliver theory and practical classes in core AI topics, including:
  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Neural Networks & Transformers
  • Reinforcement Learning
  • AI System Design & Deployment
  • MLOps & Model Serving
  • AI in Edge Computing & IoT
• Provide hands-on training using tools such as:
  • Python, NumPy, Pandas, Scikit-learn
  • TensorFlow, PyTorch, Keras
  • OpenCV, NLTK, spaCy
  • MLflow, Docker, Kubernetes, REST APIs
• Design course materials, projects, lab assignments, assessments, and case studies based on real-world applications.

• Guide students in capstone projects, research papers, internships, and industry-aligned assignments.
• Support students preparing for AI certifications (e.g., Google AI, AWS Machine Learning Specialty, TensorFlow Developer).
• Encourage participation in hackathons, coding competitions, and innovation challenges.

• Collaborate with the department to design and regularly update AI Engineering curriculum based on academic standards and industry demand.
• Integrate ethical AI practices, data privacy, and responsible AI concepts into course content.

• Encourage research and innovation in AI fields; supervise undergraduate or postgraduate theses.
• Engage with industry partners for guest lectures, internships, joint projects, or advisory boards.

• Participate in academic planning, faculty meetings, and accreditation processes.
• Contribute to university outreach events, technical festivals, and faculty development initiatives.

• Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related disciplines.
• Additional industry certifications (e.g., TensorFlow Developer, Google AI, AWS ML, IBM AI Engineering) are a plus.

• Minimum [2–5] years of experience in AI engineering, either in academia or industry.
• Prior teaching or training experience in AI-related subjects is highly desirable.

• Proficiency in Python, data science libraries, and AI frameworks (TensorFlow, PyTorch, etc.)
• Strong understanding of AI lifecycle: data preprocessing, model building, tuning, evaluation, and deployment.
• Familiarity with cloud AI platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
• Excellent communication, presentation, and classroom engagement skills.
• Ability to integrate real-world applications and interdisciplinary AI use cases.

• Published research in AI/ML or related fields.
• Experience in developing or contributing to open-source AI projects.
• Strong network in the AI/ML academic and industry community.