AI Training Specialist

3 days ago

Mysore, Karnataka, India beBeeDataScience Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Title:

Data Science Training Expert

We're seeking an accomplished technical data science trainer to join us in delivering the next generation of AI training. This is a fantastic opportunity to empower learners, grow as a leader in the AI space, and expand your professional brand.

This role is ideal for someone passionate about teaching and technology, capable of guiding learners toward becoming skilled professionals in AI and related fields.

Skills include AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, and Power BI.

Essential Qualifications:
  • Bachelor's or Master's degree in a relevant field
  • 2-6 years of experience in AI, ML, or a related field
Key Responsibilities:Training Delivery:
  • Create and deliver engaging training programs and workshops on AI, ML, and Deep Learning.
  • Adapt training methods to suit various learner levels, from beginner to advanced.
Curriculum Development:
  • Design 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.
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.
  • 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 backgrounds.
  • Foster an engaging and interactive learning environment, encouraging collaboration among participants.

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