AI/ML & Data Science Faculty

About the job

Role Overview: Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends. Key Responsibilities: • Conduct lectures on AI, Machine Learning, and Data Science. • Create and update course content and projects. • Guide students on practical work and research. • Mentor students in academics and career planning. • Stay updated with latest trends in AI/ML and Data Science. • Evaluate student performance and provide feedback. • Contribute to curriculum development. Skills & Tools: • Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. • Programming: Python, SQL (Must), Pandas, NumPy, Excel. • ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. • Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. • NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. • Advanced AI: Transfer Learning, Generative AI, Business Case Studies.