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AI & Machine Learning Instructor

Sizanid Staffing

Posted about 18 hours ago

About Our Client:

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.

Key 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.

Requirements

Qualifications & Skills:

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related field required.
  • Master’s degree or advanced certification in AI, Machine Learning, or Data Science is an advantage.
  • 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.

Preferred Qualifications:

  • 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.

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Job details

Workplace

Hybrid

Location

United States

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