About Our Client:
Our client, a growing educational and technology organization, is seeking an experienced Applied AI Engineering Instructor to teach and mentor students on practical artificial intelligence implementation, AI-powered solutions development, and real-world strategies for becoming successful Applied AI Engineers.
This role is ideal for an experienced AI engineer or technology professional who is passionate about teaching and sharing hands-on industry knowledge with aspiring AI and software engineering professionals.
Key Responsibilities:
- Deliver engaging training sessions on applied AI concepts, tools, and real-world implementation strategies.
- Teach students how to build, integrate, and deploy AI-powered applications and intelligent systems.
- Guide students on machine learning workflows, AI model integration, automation systems, APIs, and practical AI engineering techniques.
- Share practical experiences, case studies, and real-world AI engineering project insights with students.
- Teach students how to apply AI technologies to solve business, operational, and technical challenges.
- Train students on prompt engineering, AI-assisted workflows, automation tools, and AI productivity solutions.
- Develop instructional materials, coding exercises, presentations, and project-based learning activities.
- Facilitate workshops, live demonstrations, and hands-on AI implementation sessions.
- Mentor students on portfolio development, technical problem-solving, and AI career pathways.
- Stay updated on advancements in AI, machine learning, Generative AI, automation technologies, and emerging industry trends.
Requirements
Qualifications & Skills:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Science, or related field required.
- Minimum of 4–5 years of practical experience in AI engineering, machine learning, AI automation, software development, or related technology fields.
- Strong understanding of applied AI systems, AI integration, machine learning workflows, and intelligent automation solutions.
- Experience working with AI frameworks, APIs, cloud technologies, automation tools, or AI-powered applications.
- Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
- Knowledge of prompt engineering, AI workflows, and practical AI implementation strategies.
- Excellent communication, presentation, and mentoring skills.
- Ability to explain technical concepts clearly and engage students effectively.
- Strong analytical, coding, and problem-solving abilities.
- Must be legally authorized to work in the USA or Canada.
Preferred Qualifications:
- Experience delivering technical training, workshops, or mentoring programs.
- Familiarity with Generative AI, NLP, LLMs, AI automation, or cloud AI platforms.
- Experience building and deploying AI-powered solutions in commercial or operational environments.
- Certifications in AI, cloud technologies, software engineering, or automation are an advantage.
