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Job Title


Artificial Intelligence - Lead


Company : Lovely Professional University


Location : Jalandhar, Punjab


Created : 2026-03-16


Job Type : Full Time


Job Description

Job Title: Artificial Intelligence (Industry Expert)Organization: Lovely Professional University Location: Phagwara, Punjab, India Department: Artificial Intelligence / Computer Science & Engineering Experience Required: 12–20 Years (From Industry) Employment Type: Full-TimeAbout the UniversityLovely Professional University (LPU) is one of India’s leading private universities known for its strong focus on innovation, global exposure, and industry collaboration. The university is seeking experienced Artificial Intelligence professionals from the industry who are passionate about teaching, research, and building next-generation AI talent.Role OverviewThe Artificial Intelligence Industry Expert will contribute to teaching, research, curriculum development, and industry integration within the AI programs. The role requires an individual with extensive industry experience in AI technologies, machine learning systems, and data-driven solutions, who can bring real-world insights into academic environments.Key Responsibilities1. Teaching & Academic DeliveryDeliver undergraduate, postgraduate, and doctoral level courses in Artificial Intelligence and related domains.Teach and develop course modules in:Artificial IntelligenceMachine LearningDeep LearningNatural Language ProcessingComputer VisionReinforcement LearningGenerative AIData Science and AnalyticsDesign industry-relevant curriculum and lab modules aligned with global AI standards.Supervise student projects, dissertations, and capstone projects.Develop practical learning experiences through case studies, simulations, and industry datasets.2. Industry CollaborationBuild and strengthen collaborations with AI companies, startups, and technology partners.Facilitate industry internships, live projects, and collaborative research programs.Invite industry experts for guest lectures, workshops, and knowledge sessions.Support placement preparation and skill development initiatives.3. Research & InnovationConduct high-impact research in areas such as:Artificial IntelligenceMachine Learning & Deep LearningComputer VisionNatural Language ProcessingRobotics and Intelligent SystemsAI-driven AutomationGenerative AI applicationsPublish research papers in reputed journals and international conferences.Apply for research grants and funded projects from government and industry.Develop AI prototypes, patents, and technology solutions.Contribute to establishing Centers of Excellence in Artificial Intelligence.4. Student MentorshipMentor students in AI innovation projects and research activities.Guide students for hackathons, AI competitions, and startup initiatives.Support the development of student-led AI products and research publications.Provide career guidance and industry insights to prepare students for AI roles.5. Academic LeadershipParticipate in curriculum design, program review, and accreditation processes.Lead departmental initiatives in AI research labs and innovation hubs.Organize AI conferences, workshops, seminars, and training programs.Contribute to strategic planning and academic development of AI programs.Required QualificationsPh.D. in Artificial Intelligence / Computer Science / Machine Learning / Data Science or related field (preferred).M.Tech / MS / ME in Computer Science, Artificial Intelligence, or a related discipline from a recognized institution.Strong industry experience in AI systems development and deployment.Experience Requirements12–20 years of professional experience in Artificial Intelligence, Machine Learning, Data Science, or related technologies.Experience in technology companies, AI startups, research labs, or consulting organizations.Proven track record of leading AI projects or teams.Exposure to training, mentoring, or technical leadership roles is highly desirable.Technical SkillsCandidates should have expertise in several of the following:Programming: Python, Java, C++, RMachine Learning & AI frameworks: TensorFlow, PyTorch, Keras, Scikit-learnDeep Learning architectures and neural networksNatural Language Processing (NLP)Computer VisionData Engineering and Big Data tools (Spark, Hadoop)Cloud platforms: AWS, Azure, Google CloudAI model deployment, MLOps, and scalable AI systemsKey CompetenciesStrong analytical and problem-solving skillsExcellent communication and teaching abilitiesIndustry-driven approach to problem solvingPassion for research, innovation, and mentoringAbility to integrate industry practices with academic learning