AI & Machine Learning Instructor
New
S
Sizanid StaffingEducation Technology
United StatesPart-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–5 years
- Required Skills
- PythonArtificial IntelligenceKerasMachine LearningPyTorchData scienceTensorflowMentoringDeep Learningscikit-learn
Requirements
- 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.
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.
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