DataScience Faculty

🎯 Role OverviewWe are seeking a Data Science Faculty / Trainer with a proven blend of industry execution (IT or service-based projects) and academic delivery (EdTech or corporate training).You will be responsible for delivering end-to-end learning programs in Data Science, Machine Learning, AI, and Generative AI, while also integrating real-world IT project experience into your sessions.The ideal candidate is both a hands-on practitioner and an educator — capable of mentoring learners, translating enterprise-grade solutions into simple concepts, and driving measurable learning outcomes.📘 Key ResponsibilitiesDeliver instructor-led sessions on:Python for Data ScienceStatistics & ProbabilityExploratory Data Analysis (EDA)Machine Learning (Supervised & Unsupervised)Deep Learning (ANN, CNN, RNN, LSTM)Natural Language Processing (NLP)SQL, Power BI, TableauCloud AI tools (AWS, Azure, GCP optional)Design, develop, and update course content, assignments, and capstone projects.Conduct hands-on lab sessions and case study-driven workshops.Mentor students in projects and guide them through end-to-end ML lifecycle.Evaluate students’ progress through quizzes, assignments, and viva sessions.Stay updated with current industry trends, tools, and frameworks in AI/ML.Support placement readiness through technical mock interviews and portfolio reviews.Collaborate with academic teams to enhance learning delivery and student experience.🧩 Required Skills and CompetenciesProficiency in Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn.Strong knowledge of Statistics, Probability, Linear Algebra, and Data Modeling.Experience with Machine Learning algorithms (Regression, Classification, Clustering, PCA, etc.).Familiarity with Deep Learning frameworks – TensorFlow, Keras, PyTorch (preferred).Exposure to NLP, Computer Vision, and Generative AI is a plus.Hands-on with SQL, Power BI / Tableau for visualization.Familiarity with Jupyter Notebook, Git, and cloud ML environments.Excellent communication and presentation skills.Passion for teaching, mentoring, and simplifying complex topics.🎓 QualificationBachelor’s or Master’s Degree in Computer Science / Data Science / AI / Statistics / Mathematics / Engineering.Professional certifications (e.g., IBM Data Science, Google ML, AWS ML, or Coursera Specializations) are a plus.