Assistant Professor - Computer Science

As an Assistant Professor in Computer Science and Information Science at Intellipaat, you will play a key role in shaping the academic experience of our learners. Your passion for teaching, academic excellence, and commitment to innovation in education will be instrumental in driving the success of our programs. In this role, you will deliver engaging lectures and tutorials, mentor students in their academic projects and research endeavors, and contribute to curriculum design using modern pedagogical methods. You will provide practical exposure to industry-relevant tools and skills, ensuring that our students are well-prepared for the professional world. Additionally, you will actively participate in departmental activities such as exam coordination, paper setting, invigilation, and evaluation of answer scripts. Your involvement in accreditation and quality assurance processes will contribute to enhancing institutional performance and maintaining academic standards. Furthermore, you will have the opportunity to initiate and lead research projects with a focus on innovation and societal impact. Collaborating with academic leadership and fostering interdisciplinary connections both within and outside the institution will be key aspects of your role. To excel in this position, you should hold an M.Tech in Computer Science Engineering or Information Science Engineering with a minimum of 60% marks in both your undergraduate and postgraduate studies. A strong background in teaching or relevant academic experience spanning 14 years is preferred. Proficiency in Python, Data Science, Machine Learning Algorithms, AI, Computer Vision, NLP, and Web development technologies such as HTML, CSS, JS, React, and Node.js (MERN Stack) is essential. Joining Intellipaat offers you the opportunity to work in a rapidly growing EdTech company, where you will be exposed to academic innovation, digital pedagogy, and cutting-edge tech education. You will thrive in a collaborative environment that values research, learning, and leadership development. Continuous career growth is supported through structured faculty training programs and opportunities for upskilling.,