
AI Professional Trainer
2 days ago
A Data Science Trainer plays a pivotal role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem.
This position is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields.
Key responsibilities include designing and delivering training programs and workshops on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming, adapting training methods to suit varying levels of expertise, from beginner to advanced learners.
Develop 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.
Guide learners 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.
Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies.
Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback.
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.
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