AI and Machine Learning Professional Developer

2 weeks ago

Vellore, Tamil Nadu, India beBeeTechnical Full time ₹ 15,00,000 - ₹ 25,00,000

We are seeking an experienced professional to join our team as a Technical Data Science Trainer. This role offers a unique opportunity to play a key part in shaping the next generation of AI and Machine Learning professionals, influencing their careers and contributing to the growth of the AI ecosystem.

">Key Responsibilities:
  • Training Delivery:
    • Develop and deliver comprehensive training programs and workshops for individuals and teams on topics including Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models, 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:
    • 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.

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