Join our cutting-edge Cyber Academy as an AI Trainer, where you'll play a pivotal role in educating the next generation of AI professionals. Our academy is dedicated to providing top-tier training in cybersecurity, AI, and advanced computing technologies.
This relocation position offers you the chance to be part of a dynamic, forward-thinking environment that’s shaping the future of cyber education.
Key Responsibilities:
Data Warehouse & Big Data:
- Deliver in-depth training on Data Warehouse architecture and Big Data technologies, with a focus on cybersecurity applications.
- Provide practical experience with tools and platforms like Hadoop, Spark, and other data management systems relevant to cyber data analysis.
- Guide learners in optimizing the scalability and performance of large-scale data solutions in a cyber context.
Quantum Computers:
- Educate learners on Quantum Computing principles, including qubits, superposition, entanglement, and quantum algorithms, with an emphasis on their implications for cybersecurity.
- Lead sessions exploring how Quantum Computing is transforming the field of cybersecurity and AI.
- Stay current with advancements in Quantum Computing and their applications to continuously update the training curriculum.
Foundations of Computing & AI:
- Teach the core principles of Computing and AI, focusing on their relevance to cybersecurity.
- Provide a solid understanding of AI methodologies such as machine learning, natural language processing, and computer vision, and their applications in cyber defense.
- Design and implement practical exercises that allow learners to apply foundational concepts to real-world cybersecurity challenges.
Deep Learning:
- Conduct training on Deep Learning techniques, including neural networks, convolutional networks, and recurrent networks, emphasizing their use in cybersecurity solutions.
- Offer insights into deploying Deep Learning models for threat detection, risk assessment, and other critical cybersecurity tasks.
- Ensure learners gain proficiency in popular Deep Learning frameworks such as TensorFlow, PyTorch, and Keras, tailored to cybersecurity applications.
Curriculum Development:
- Collaborate with cybersecurity experts to design and update training content that aligns with industry needs.
- Tailor training programs to equip learners with the skills required to tackle modern cybersecurity threats.
- Provide continuous assessment and feedback to enhance the effectiveness of the training programs.
Qualifications:
Educational Background:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (advantage)
- Specialization or experience in AI, Cybersecurity, or Quantum Computing is highly desirable.
Experience:
- 5+ years of experience in AI, Big Data, or Cybersecurity.
- Proven track record of delivering technical training or teaching in a professional or academic setting.
Technical Skills:
- Proficiency in Data Warehouse and Big Data tools (e.g., Hadoop, Spark) with a focus on cybersecurity.
- Solid understanding of Quantum Computing principles and their impact on cybersecurity.
- Strong foundation in computing and AI, with hands-on experience in Deep Learning frameworks, particularly in a cybersecurity context.
Soft Skills:
- Excellent communication and presentation skills.
- Ability to explain complex concepts in an accessible and engaging manner.
- Adaptability and willingness to relocate.
Advantages:
- Experience in cybersecurity training or related fields.
- Previous experience in a relocation or international work environment.
- Published research or contributions to AI and cybersecurity projects.