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1 day ago
We are seeking an experienced Technical Trainer to deliver cutting-edge AI technical training. This role will play a key part in shaping the next generation of AI professionals, influencing their careers and contributing to the growing AI ecosystem.
Key Responsibilities:- Design and deliver training programs and workshops on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming for individuals and teams.
- Develop adaptable 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 that cater to different learning styles.
- Ensure curriculum incorporates real-world applications and industry best practices for practical learning experiences.
- Regularly update course content to reflect advancements in technology and industry trends.
- Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms.
- Provide comprehensive training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas.
- Offer personalized mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems.
- Monitor learner progress, provide constructive feedback, and suggest improvement strategies.
- Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques.
- Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers.
- Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment.
- Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials.
- Stay familiar with emerging technologies like generative AI and explainable AI.
- Effectively communicate complex concepts to learners from diverse technical and non-technical backgrounds.
- Establish an engaging and interactive learning environment, encouraging collaboration among participants.
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