
Data Science Educator
6 days ago
We are seeking a dedicated professional to deliver cutting-edge AI technical training, empowering the next generation of AI/ML professionals and contributing to the growing AI ecosystem.
This role is ideal for someone passionate about teaching and technology, capable of helping learners become skilled professionals in AI and related fields.
Craft comprehensive training programs and workshops on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming.
Adapt training methods to suit varying levels of expertise, from beginner to advanced learners.
Curriculum Development:
Create structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects.
Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience.
Regularly update course content to align with advancements in technology and industry trends.
Hands-On Learning:
Foster learner engagement through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms.
Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas.
Mentorship and Support:
Offer personalized mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems.
Monitor learner progress, provide constructive feedback, and suggest improvement strategies.
Domain-Specific Expertise:
Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques.
Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment.
Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers.
Stay Updated on Trends:
Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials.
Maintain familiarity with emerging technologies like generative AI and explainable AI.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or related field
2 - 6 years' of experience in AI/ML and education
Skills:
AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI
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