AI Engineering Trainer

14 hours ago

Gurgaon, Haryana, India K.R. Mangalam University Full time ₹ 8,00,000 - ₹ 18,00,000 per year

Job Category: Faculty/Trainer

Job Type: Full Time

Required Experience: 2-5 Years

Job Location: Gurugram

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

Job Summary:

K. R. Mangalam University is looking for a dedicated and highly skilled AI Engineering Trainer / Faculty to deliver high-quality instruction in Artificial Intelligence and its practical engineering applications. The ideal candidate will have a strong foundation in AI technologies, hands-on experience with modern AI tools and frameworks, and a passion for teaching and mentoring students. You will play a critical role in preparing students for successful careers in AI engineering, machine learning, and intelligent systems development.

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:

  • 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.

Experience:

  • 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.

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.

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