Part-time Instructor

7 days ago

Ottawa, Ontario, Canada Lambton College Full time

About the Opportunity:

Lambton College of Applied Arts & Technology invites applications from qualified and passionate individuals interested in teaching Artificial Intelligence and Machine Learning Program. This role is designed for individuals who are passionate about AI and ML and are eager to share their knowledge and expertise with the next generation of technology professionals. Successful candidates will be at the forefront of AI education, equipping students with the skills needed to excel in the rapidly evolving tech landscape.

Key Responsibilities:

  • Creating a positive teaching and learning environment, fostering a culture of innovation and collaboration.
  • Preparing lesson plans and providing instruction using a variety of teaching techniques and current technologies that enhance student success.
  • Delivering courses in accordance with curriculum standards, ensuring students meet the required learning objectives.
  • Preparing, administering, and grading assignments, quizzes, and examinations in a timely manner, providing constructive feedback to students.
  • Monitoring student performance, maintaining progress reports, and encouraging their success.
  • Consulting with colleagues as required, sharing best practices and expertise in AI and ML education.
  • Following the Academic Calendar and other policies and procedures, ensuring compliance with college regulations.

Requirements:

  • A minimum of a bachelor's degree in Computer Science or a closely related field, with a preference for a focus on Artificial Intelligence.
  • At least three years of direct experience in AI and ML, with a strong understanding of various deep learning architectures and their applications.
  • In-depth knowledge and practical experience in AI, including but not limited to:
    • Deep Learning: Understanding of various deep learning architectures (CNNs, RNNs, GANs, transformers) and their applications in real-world scenarios.
    • Neural Networks: Proficiency in designing, training, and implementing neural network models.
    • Large Language Models (LLMs): Experience with LLMs such as GPT, BERT, and their applications in natural language processing and understanding.
    • LangChain: Familiarity with the LangChain framework for building language model applications, including chatbots and automated reasoning systems.
    • Hugging Face: Hands-on experience with the Hugging Face Transformers library for developing and deploying state-of-the-art machine learning models.
    • Demonstrable skills in Big Data technologies, analytics, Hadoop, data mining, database design, and machine learning.
    • Excellent communication skills, with the ability to effectively convey complex technical concepts in an accessible manner.
    • Preferred previous teaching or training experience in a relevant field.
    • Proficiency in programming languages and software tools relevant to AI and machine learning.
    • Strong analytical and problem-solving abilities, with a knack for innovative thinking.
    • A commitment to adaptive teaching methods that cater to a diverse student body.

Preferred Qualifications:

  • Master's or Ph.D. in Computer Science or a closely related field.
  • Experience in teaching or training in a higher education setting.
  • Publications or presentations in the field of AI and ML.

How to Apply:

Applicants should submit their application, including a cover letter, resume, and any supporting documents, to [insert contact information].

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