AI Engineering Trainer

Job Title:

Department:

Location:

Job Type:

Job Summary:

AI Engineering Trainer / Faculty

Key Responsibilities:

Teaching & Training

• 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.

Student Mentorship & Support

• 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.

Curriculum Development

• 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.

Research & Industry Collaboration

• 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.

Academic & Institutional Duties

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

Qualifications:Educational Requirements:

• Masters 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.

Experience:

• Minimum [25] years of experience in AI engineering, either in academia or industry.
• Prior teaching or training experience in AI-related subjects is highly desirable.

Skills & Competencies:

• 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.

Preferred Attributes:

• 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.

Interested Candidates can visit our website and they can send the resume on this mail id:

K. R. Mangalam University Website - https://www.krmangalam.edu.in/careers/

Email ID - krmujobs@krmangalam.edu.in