AI&DS Faculty

5 days ago

Chennai, Tamil Nadu, India MH Cockpit Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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