AI&DS Faculty

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.