Live opening · Posted 1 day ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Company Description Cognitel is India’s leading Information Communication Technology (ICT) training and consulting organization, providing cutting-edge technical and business training to Fortune 500 companies and global enterprises. The company specializes in highly customized content development and has a diverse client base across India, the Middle East, Africa, and other regions, including major telecom and IT brands. Cognitel has established a state-of-the-art ICT lab in Gurgaon, hosted on the cloud, enabling remote access for advanced telecom and IT training. With more than 250 ICT courses, including over 50 online offerings, Cognitel has built a strong presence in the education market. The organization holds multiple affiliations and partnerships, including Telecom Sector Skill Council (TSSC), PMI, PeopleCert, Huawei India, ScrumStudy, SMstudy, and 6SigmaStudy, enhancing its credibility and reach in professional education.
Role Description The Subject Matter Expert (SME) – Python, Artificial Intelligence, Data Science will design, develop, and deliver high-quality training content and classroom sessions aligned with Cognitel’s ICT-focused curriculum. Day-to-day responsibilities include creating structured learning modules, practical labs, and assessments in Python, AI, and Data Science, as well as updating content to reflect current industry trends and best practices. The SME will mentor learners, clarify complex technical concepts, evaluate performance, and provide feedback to improve learning outcomes. The role also involves collaborating with internal teams to refine course offerings, support corporate training programs, and contribute to new program development. This is a full-time, on-site role based in Sasaram, Bihar (approximately 120 km from Varanasi).
Qualifications
Strong expertise in Python programming, including data structures, libraries (such as NumPy, Pandas), and scripting for data analysis and automation.
Solid knowledge of Artificial Intelligence and Machine Learning concepts, including supervised/unsupervised learning, model evaluation, and common frameworks (e.g., scikit-learn, TensorFlow or similar).
Practical experience in Data Science, including data preprocessing, exploratory data analysis, statistical methods, visualization tools, and working with real-world datasets.
Demonstrated ability to design and deliver technical training, create course content, and explain complex topics in a clear, structured, and learner-friendly manner.
Familiarity with related IT and ICT domains (such as cloud platforms, databases, or networking fundamentals) that support data-driven solutions.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, or a closely related field.
Strong communication and presentation skills, with the ability to engage diverse learner groups and provide constructive feedback.
Prior teaching, corporate
Work arrangement
No
Recently tracked roles with full details and direct application links.