AI Trainer
4 days ago
We are seeking an experienced AI training professional to join our team in delivering cutting-edge technical training. This role offers a unique opportunity to empower the next generation of AI/ML professionals and contribute to the growing AI ecosystem.
Key Responsibilities:- Training Delivery:
- Design and deliver engaging 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:
- 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.
- Regularly update course content to align with advancements in technology and industry trends.
- Hands-On Learning:
- 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.
- Mentorship and Support:
- 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.
- Assessment and Evaluation:
- Develop and administer assessments to evaluate learners understanding and skill levels.
- Analyze test results and provide detailed performance feedback.
- 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.
- Soft Skills and Collaboration:
- Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds.
- Foster an engaging and interactive learning environment, encouraging collaboration among participants.
- Opportunity to work on cutting-edge AI projects and apply Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision to real-world applications.
- Access to continuous learning resources and mentorship programs to enhance your expertise and stay updated with emerging trends.
- Chance to develop leadership and communication skills by mentoring learners and collaborating with professionals across various industries.
- Engage with industry experts, aspiring AI professionals, and innovators, expanding your professional network.
- Possibility to grow with the company and shape its future direction.
- Early access to leadership opportunities.
- Fast-paced, collaborative, and innovative startup culture.
- A place for growth and talent development.
- Nurturing environment where every voice matters.
- Ownership and autonomy in work.
- Dynamic energy and continuous learning.
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