Professor, Part-Time

SENECA COLLEGE OF APPLIED ARTS&TECHNOLOGY • Ontario, CA

35d • Onsite

About The Position

Seneca is seeking passionate part-time professors to teach in the field of Artificial Intelligence, specifically focusing on Natural Language Processing. The role involves contributing to experiential learning, bringing industry and research expertise into the classroom, and inspiring students through applied learning and project-based instruction. The goal is to prepare students to create innovative AI solutions and shape the next generation of AI professionals.

This position is for the Winter term, with course assignments based on scheduling needs. Contracts are typically up to 6 hours per week, and daytime on-campus availability is preferred.

Requirements

• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a closely related discipline.
• Industry experience applying Natural Language Processing (NLP), Large Language Models (LLMs), generative AI, or machine learning to real-world software, business, research, or data applications.
• Experience developing, fine-tuning, evaluating, or deploying NLP and AI solutions.
• Experience incorporating current industry tools, frameworks, and best practices into teaching and learning activities.
• Demonstrated expertise in Natural Language Processing, text mining, and machine learning.
• Experience with modern natural language processing and large language model technologies, including transformer-based architectures.
• Familiarity with modern NLP and generative AI techniques, including BERT, GPT, LLMs, transfer learning, and model fine-tuning.
• Experience applying NLP to text classification, chatbots, conversational AI, information retrieval, and other language-based applications.
• Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Experience with model evaluation, performance optimization, and hyperparameter tuning.
• Knowledge of prompt engineering and practical applications of generative AI technologies.
• Understanding of ethical and responsible AI considerations, including bias, fairness, privacy, transparency, and governance.
• Strong communication, collaboration, analytical, and problem-solving skills.
• Commitment to equity, diversity, inclusion, accessibility, and student success.

Nice To Haves

• PhD in a closely related field.
• Professional Engineer (P.Eng.) designation, particularly for candidates with experience applying AI in engineering or technology environments.
• Demonstrated post-secondary teaching experience in Natural Language Processing, machine learning, deep learning, artificial intelligence, or related subject areas.

Responsibilities

• Providing academic leadership in the classroom and ensuring an effective and engaging learning environment for students.
• Ensuring student awareness of course objectives, learning outcomes, and evaluation methods.
• Delivering scheduled instruction using applied and experiential teaching approaches.
• Facilitating hands-on learning activities and projects using current AI and NLP tools and technologies.
• Providing academic guidance and mentorship to support student success.
• Evaluating student progress and assuming responsibility for the overall assessment of student learning.
• Fostering an inclusive and collaborative learning environment that encourages innovation and critical thinking.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level