AI&DS Faculty

5 days ago

India MH Cockpit Full time

Position: Faculty – Ai&ds Program (Computing & AI/Robotics) Location: Chennai Department: Computer Science / Artificial Intelligence and Robotics Key Responsibilities: - Teach undergraduate and/or postgraduate courses related to Computer Science, Artificial Intelligence, Machine Learning, Cloud Computing and Robotics. - Design, develop and update the curriculum to ensure alignment with current and emerging technologies (e.g., cloud‐based systems, robotics, AI/ML frameworks). - Conduct and supervise laboratory sessions, hands-on workshops and student projects in robotics, AI/ML and cloud computing environments. - Mentor and guide students in their capstone projects, research assignments and internships. - Engage in research, publication and/or consultancy in areas such as AI/ML, robotics, cloud computing, autonomous systems, IoT integration and related fields. - Collaborate with industry partners, research organizations and other academic units to enhance teaching, research and student exposure. - Participate in accreditation, departmental planning, student evaluation, academic committee activities and continuous improvement of teaching-learning processes. - Stay abreast of developments in robotics, cloud computing, artificial intelligence and machine learning, and integrate these into teaching and research. Qualifications: - Master's degree (M.Tech) in Computer Science or M.Tech in Artificial Intelligence / Machine Learning or a closely related field. - Proven knowledge of robotics (hardware or software), and cloud computing technologies. - Experience with programming languages, AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (AWS, Azure or GCP), robotics platforms/systems. - Strong communication skills, capability to deliver lectures, manage labs, supervise projects and mentor students. Nice to Have: - PhD in Computer Science / AI / Robotics / Cloud Computing or a related discipline is an added advantage. - Prior industry experience or research experience in robotics, AI/ML or cloud systems. - Publications in peer-reviewed journals or conference proceedings. - Experience in curriculum design, accreditation processes, collaboration with industry or research projects. Key Skills: - Robotics: familiarity with sensors, actuators, embedded systems, autonomous systems or robotic frameworks. - Cloud Computing: knowledge of cloud architecture, deployment of applications on cloud/edge, cloud services and infrastructure. - AI/ML: strong foundation in machine learning algorithms, deep learning, model deployment, data processing and analytics. - Programming and tools: proficiency in languages (e.g., Python, C++/Java), frameworks (TensorFlow, PyTorch, OpenCV), and cloud services. - Teaching & mentoring: ability to explain complex concepts, engage students, design lab sessions, assess performance and support student growth. - Research & innovation: curiosity for new technologies, ability to supervise student research, contribute to departmental growth, publish work. - Collaboration: team player, open to industry–academia linkages, student outreach, project work and interdisciplinary engagements.

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