Assistant Professor / Institutional Instructor | Python, Artificial Intelligence, Data Science & Business Analytics | Location: – Chandigarh Job at Sahibzada Ajit Singh Nagar, Punjab, India Full Time NEW

Company Description

Cognitel is a forward-looking training and consulting organization in India, dedicated to bridging the gap between academia and industry. Working closely with leading universities, Cognitel integrates industry-driven learning into academic environments, ensuring students gain practical skills alongside strong theoretical foundations.

With a focus on employability and real-world readiness, Cognitel specializes in upskilling students and working professionals in high-demand domains such as Artificial Intelligence, Machine Learning, Data Science, and emerging technologies.

Through immersive learning approaches, hands-on training, and direct industry exposure, Cognitel enables learners to build job-ready skills and transition confidently into professional roles, aligning talent with evolving industry expectations.

Role Overview

We are looking for a passionate and experienced Assistant Professor / Institutional Instructor to deliver high-quality training in Python, Artificial Intelligence, Data Science, Machine Learning, and Business Analytics. In this role, you will be deployed at our partner university to bridge the gap between theoretical learning and practical industry application.

You will play a key role in preparing students for careers in the rapidly evolving fields of AI and Data Analytics through project-based learning, real-world case studies, and industry-relevant training methodologies.

Key Responsibilities

• Deliver engaging lectures, tutorials, and practical laboratory sessions in Python, Data Science, Machine Learning, Artificial Intelligence, and Business Analytics.

• Design, develop, and continuously update curriculum content aligned with current industry trends, technological advancements, and workforce requirements.

• Mentor students on academic projects, internships, capstone projects, research activities, and career development initiatives.

• Facilitate hands-on learning through real-world datasets, case studies, predictive modeling exercises, and AI-driven applications.

• Train students on industry-standard tools and technologies including Python, Pandas, NumPy, Scikit-learn, Power BI, Tableau, SQL, and related analytics platforms.

• Assess student performance through assignments, examinations, project evaluations, presentations, and continuous feedback mechanisms.

• Support students in developing analytical thinking, problem-solving abilities, data-driven decision-making skills, and AI application development capabilities.

• Encourage participation in hackathons, analytics competitions, research conferences, workshops, and technical events.

• Guide students in developing industry-ready portfolios and preparing for placements in AI, Data Science, and Analytics domains.

Educational Qualifications

• M.Tech / Ph.D. in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.

• Strong academic background in programming, statistics, machine learning, and data analytics.

• Prior teaching, academic, corporate training, or relevant industry experience will be an added advantage.

Required Skills

• Strong proficiency in Python programming.

• Sound understanding of Data Science, Machine Learning, Artificial Intelligence, and Business Analytics concepts.

• Experience with data visualization and analytics tools such as Power BI, Tableau, or similar platforms.

• Knowledge of SQL, database management, and data preprocessing techniques.

• Familiarity with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch.

• Strong understanding of statistics, predictive analytics, and data-driven decision-making.

• Excellent communication, presentation, and classroom management skills.

• Ability to simplify complex technical concepts and deliver engaging learning experiences.

• Strong mentoring, project guidance, and student engagement capabilities.

Why Join Cognitel?

• Opportunity to work at the intersection of industry and academia.

• Direct involvement with leading universities across India.

• Exposure to cutting-edge technologies and real-world AI, Data Science, and Analytics applications.

• A platform to mentor, inspire, and shape future technology professionals.

• Dynamic, growth-oriented work environment with meaningful impact.

• Continuous learning, certification, and professional development opportunities.

• Opportunity to contribute to next-generation workforce development in emerging technologies.

If you are passionate about teaching, mentoring students, and helping bridge the gap between academia and industry while shaping future AI and Data Science professionals, we invite you to join Cognitel and make a meaningful impact.