Computer Science / Artificial Intelligence / Engineering / Information Technology
Location:
K. R. Mangalam University, Gurugram Sohna Rd Hwy, Haryana 122103 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:
Deliver theory and practical classes in core AI topics, including:
Machine Learning & Deep Learning
Natural Language Processing (NLP)
Neural Networks & Transformers
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.
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Support students preparing for AI certifications (e.g., Google AI, AWS Machine Learning Specialty, TensorFlow Developer).
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Encourage participation in hackathons, coding competitions, and innovation challenges.
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Collaborate with the department to design and regularly update AI Engineering curriculum based on academic standards and industry demand.
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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.
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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:
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Master s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related disciplines.
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Additional industry certifications (e.g., TensorFlow Developer, Google AI, AWS ML, IBM AI Engineering) are a plus.
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Minimum [2 5] years of experience in AI engineering, either in academia or industry.
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Prior teaching or training experience in AI-related subjects is highly desirable.
Skills & Competencies:
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Proficiency in Python, data science libraries, and AI frameworks (TensorFlow, PyTorch, etc.)
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Strong understanding of AI lifecycle: data preprocessing, model building, tuning, evaluation, and deployment.
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Familiarity with cloud AI platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
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Excellent communication, presentation, and classroom engagement skills.
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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.
Apply for this position Education with Percentage (Bachelor,Master,P.HD)
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