AI & Machine Learning Instructor

Sizanid Staffing

About The Position

Our client, a growing educational and technology organization, is seeking an experienced AI & Machine Learning Instructor to teach and mentor students on artificial intelligence, machine learning engineering, intelligent systems development, and practical strategies for becoming successful AI & Machine Learning Engineers. This role is ideal for an experienced AI or Machine Learning professional who is passionate about teaching and sharing real-world industry knowledge with aspiring AI engineers, data professionals, and software developers.

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related field required.
Minimum of 4–5 years of practical experience in artificial intelligence, machine learning engineering, data science, or related technology fields.
Strong understanding of machine learning algorithms, deep learning, AI engineering workflows, and data-driven systems.
Experience working with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar technologies.
Proficiency in Python and familiarity with APIs, cloud AI tools, databases, and deployment technologies.
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.

Nice To Haves

Master’s degree or advanced certification in AI, Machine Learning, or Data Science is an advantage.
Experience delivering technical training, workshops, or mentoring programs.
Familiarity with NLP, Generative AI, LLMs, computer vision, or AI automation tools.
Experience building and deploying AI-powered solutions in commercial or production environments.
Certifications in AI, machine learning, cloud technologies, or data science are an advantage.

Responsibilities

Deliver engaging training sessions on artificial intelligence, machine learning, and intelligent systems development.
Teach students how to design, build, train, evaluate, and deploy machine learning models and AI-powered applications.
Guide students on supervised learning, unsupervised learning, deep learning, neural networks, and AI engineering workflows.
Share practical experiences, case studies, and real-world AI and machine learning project insights with students.
Teach students programming concepts using Python and relevant AI/ML frameworks and tools.
Train students on data preprocessing, model optimization, feature engineering, and AI deployment techniques.
Develop instructional materials, coding exercises, presentations, and hands-on AI projects.
Facilitate workshops, live coding demonstrations, and project-based learning sessions.
Mentor students on portfolio development, technical problem-solving, and AI career pathways.
Stay updated on emerging AI technologies, machine learning advancements, Generative AI, and industry best practices.