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Deep Learning Trainer/Facilitator

Salary undisclosed

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About Quanterra Institute

Quanterra Institute is a premier education and training institution in Singapore, dedicated to advancing expertise in deep learning and artificial intelligence (AI). We provide industry-relevant training that equips professionals with neural network architectures, deep learning frameworks, and AI-driven applications to solve complex problems in business, healthcare, finance, and technology. Our curriculum is designed to help individuals and businesses harness deep learning techniques for predictive modeling, automation, and innovation.

Job Description

We are seeking dynamic and experienced trainers, facilitators, and course developers to join our team. This role involves designing, developing, and delivering Deep Learning courses that are practical, industry-focused, and aligned with modern AI applications. The successful candidate will be the lead trainer for the courses they develop and will be given priority to train across all course runs.

Key Responsibilities

  • Develop and update course materials for deep learning training.
  • Facilitate and conduct training sessions both on-site at Tanjong Pagar and online through e-learning platforms.
  • Engage with students to ensure a hands-on and interactive learning environment.
  • Monitor and evaluate the effectiveness of training programs and implement improvements as needed.
  • Collaborate with the Quanterra team to enhance the overall training experience.

Course Topics Include (But Not Limited To):

  • Introduction to Deep Learning and Neural Networks
  • Fundamentals of Supervised and Unsupervised Learning
  • Building Deep Neural Networks with TensorFlow and PyTorch
  • Convolutional Neural Networks (CNNs) for Image Recognition
  • Recurrent Neural Networks (RNNs) and Transformers for NLP
  • Deep Reinforcement Learning and AI Agents
  • Hyperparameter Tuning and Model Optimization
  • Ethical AI, Bias Mitigation, and Explainable AI (XAI)
  • AI Deployment in Cloud and Edge Computing Environments
  • And many more within the deep learning and AI development domain.

Remuneration

  • Daily rate: $480 - $1200, with revenue-sharing incentive bonuses based on performance.

Preferred Qualifications and Skills

General Qualifications:

  • Prior experience in training, facilitation, or education in deep learning, AI, or data science.
  • Excellent presentation, communication, and interpersonal skills.
  • Passion for teaching and helping individuals apply AI in real-world scenarios.
  • ACLP certification (Advanced Certificate in Learning and Performance) is advantageous but not required.
  • Must be legally eligible to work in Singapore.

Specific Skills and Expertise:

  • Strong expertise in deep learning, neural networks, and AI model development.
  • Proficiency in Python, TensorFlow, PyTorch, Keras, and deep learning libraries.
  • Experience in computer vision, NLP, reinforcement learning, and generative models.
  • Industry-recognized certifications in AI and deep learning, such as Google TensorFlow Developer Certification, AWS Certified Machine Learning – Specialty, or Deep Learning Specializations from Coursera/Stanford.
  • Ability to design and develop structured, industry-relevant course materials.

Why Join Quanterra Institute?

  • Competitive remuneration with performance-based incentives.
  • Opportunity to be the lead trainer and shape the future of deep learning education.
  • Collaborative environment with a focus on continuous learning and development.
  • A chance to empower professionals and businesses with essential AI and deep learning skills for innovation and automation.

How to Apply

If you are passionate about deep learning education and AI-powered applications, we would love to hear from you.

Apply via [email protected]

Subject: Application for Deep Learning Trainer/Facilitator / [Your Name]

Join us at Quanterra Institute and be part of our mission to train the next generation of AI professionals and deep learning innovators.

Job Type: Freelance

Pay: From $480.00 per day

Work Location: In person