AI Training Specialist

4 days ago

Bikaner, Rajasthan, India beBeeDataScience Full time ₹ 15,00,000 - ₹ 20,00,000
Empowering Future AI Leaders

We are seeking a dedicated Data Science Trainer to join our team in delivering cutting-edge AI training. This role is an opportunity to play a key part in shaping the careers of aspiring AI/ML professionals and contributing to the growth of the AI ecosystem.

The ideal candidate will be passionate about teaching and technology, capable of helping learners become skilled professionals in AI and related fields.

Key Responsibilities:

  • Training Delivery
    • Design and deliver 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.

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.

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