AI & Machine Learning Trainer

As an AI-ML Trainer at AIBO8 (Cloud Education Learning Pvt. Ltd.), your role involves delivering high-quality training, guiding industrial projects, and developing curriculum to support students and professionals in understanding Data Science and Deep Learning concepts. **Key Responsibilities:** - Conduct industrial training and workshops on Python, AI, and Machine Learning. - Teach end-to-end model development: from data preprocessing to model hosting. - Guide students in building live projects using Flask, Streamlit, and Tkinter. - Stay updated with the latest trends in LLMs (Large Language Models) and Generative AI. - Mentor students during hackathons and capstone projects. **Technical Requirements:** - Programming: Mastery in Advanced Python (OOPs, Data Structures). - Machine Learning: Strong grasp of Supervised/Unsupervised learning (Classification, Regression), Ensemble methods, and Evaluation metrics. - Deep Learning: Hands-on experience with ANN, CNN, RNN, and architecture design. - Advanced AI: Knowledge of LLMs (Large Language Models), Transformers, and NLP pipelines. - Deployment & GUI: Proficiency in Flask, Streamlit, and Tkinter for creating model interfaces and hosting applications. - Tools: Jupyter Notebook, Google Colab, VS Code. **Qualifications:** - B.Tech / M.Tech in CS/IT/ECE or relevant experience. - Strong communication and presentation skills. As an AI-ML Trainer at AIBO8 (Cloud Education Learning Pvt. Ltd.), your role involves delivering high-quality training, guiding industrial projects, and developing curriculum to support students and professionals in understanding Data Science and Deep Learning concepts. **Key Responsibilities:** - Conduct industrial training and workshops on Python, AI, and Machine Learning. - Teach end-to-end model development: from data preprocessing to model hosting. - Guide students in building live projects using Flask, Streamlit, and Tkinter. - Stay updated with the latest trends in LLMs (Large Language Models) and Generative AI. - Mentor students during hackathons and capstone projects. **Technical Requirements:** - Programming: Mastery in Advanced Python (OOPs, Data Structures). - Machine Learning: Strong grasp of Supervised/Unsupervised learning (Classification, Regression), Ensemble methods, and Evaluation metrics. - Deep Learning: Hands-on experience with ANN, CNN, RNN, and architecture design. - Advanced AI: Knowledge of LLMs (Large Language Models), Transformers, and NLP pipelines. - Deployment & GUI: Proficiency in Flask, Streamlit, and Tkinter for creating model interfaces and hosting applications. - Tools: Jupyter Notebook, Google Colab, VS Code. **Qualifications:** - B.Tech / M.Tech in CS/IT/ECE or relevant experience. - Strong communication and presentation skills.