Instructor Ai

**Job Opportunity: Part-Time AI / Data Science Instructor**

Are you a seasoned AI or data science professional with a passion for education and training? SysIIT, a prominent IT training company, is seeking a dynamic individual to join our team as a Part-Time AI / Data Science Instructor. This is a fantastic opportunity to share your expertise, contribute to the growth of aspiring professionals, and be an integral part of our commitment to excellence in IT education.

**Position: Part-Time AI / Data Science Instructor**

**Location: [Mississauga, ON] (In-Person)**

About Us: SysIIT is a leader in IT training, dedicated to equipping individuals with the skills and knowledge needed to excel in the rapidly evolving field of technology. Our mission is to provide cutting-edge training programs that bridge the gap between education and industry needs.

Role Overview: As a Part-Time AI / Data Science Instructor, you will be responsible for delivering high-quality training sessions in artificial intelligence and data science. Your expertise in machine learning, deep learning, and proficiency in relevant programming languages will play a crucial role in shaping the next generation of AI and data science professionals.

**Responsibilities**:

- Conduct engaging and hands-on training sessions covering AI and data science concepts, methodologies, and tools.
- Develop and update curriculum materials to align with industry trends, best practices, and emerging technologies.
- Provide mentorship and support to students, offering constructive feedback to enhance their learning experience.
- Collaborate with the curriculum development team to continually improve training materials.

**Qualifications**:

- **Proven experience in AI or data science with expertise in machine learning, deep learning, and statistical analysis.**
- **Proficiency in programming languages commonly used in AI and data science.**
- **Excellent communication and presentation skills.**
- **Previous teaching or training experience is highly desirable.**
- **Bachelor's or advanced degree in a related field.**

**Job Type**: Part-time

Expected hours: 8 - 12 per week

Work Location: In person