Accountabilities:

Technical Content Development
Design and develop comprehensive technical learning materials, including courses, modules, hands-on labs, projects, and assessments covering Artificial Intelligence and Machine Learning.
Create educational content focused on machine learning fundamentals, LLM application development, information retrieval, tool and function calling, and autonomous agent workflows.
Translate learning objectives and instructional design requirements into structured, practical, and engaging educational experiences.
Develop technical examples and learning activities that demonstrate real-world applications of AI technologies and help learners acquire job-ready skills.
Ensure that all content is technically accurate, accessible, and aligned with defined learning outcomes.
Hands-on Learning and Technical Validation
Author, develop, and test technical labs, notebooks, and projects from beginning to end, ensuring learners can successfully reproduce working solutions.
Validate code examples, technical exercises, and learning environments to maintain consistency and reliability.
Collaborate with subject matter experts to review and validate technical content as AI models, frameworks, libraries, and development tools evolve.
Identify potential technical issues and learning difficulties before materials are released to learners.
Maintain the relevance and accuracy of educational resources by incorporating emerging technologies and industry best practices.
Assessment and Learning Outcomes
Design and develop quizzes, practical exercises, and assessments that accurately measure learners' understanding and acquisition of targeted technical skills.
Ensure assessments are aligned with course objectives and reflect practical, real-world competencies.
Incorporate feedback from learners, testers, reviewers, and subject matter experts to continuously improve educational materials.
Analyse learner outcome data to identify knowledge gaps, improve course effectiveness, and enhance the overall learning experience.
Collaboration and Continuous Improvement
Work closely with subject matter experts, technical authors, instructional designers, and testers within a dedicated curriculum team.
Provide guidance and coaching to new content authors, helping them maintain consistent technical and instructional quality.
Use AI-powered tools and coding assistants to accelerate drafting, content iteration, and quality assurance without compromising accuracy.
Contribute to the continuous improvement of content development methodologies, instructional practices, and technical learning standards.
Report to the Technical Curriculum Lead and collaborate with relevant stakeholders to ensure the timely delivery of learning initiatives.

Requirements

Professional Experience and Technical Expertise
At least 3 years of professional experience in Artificial Intelligence or Machine Learning, with strong hands-on Python development skills.
Practical experience with Python libraries and frameworks such as NumPy, pandas, PyTorch, or scikit-learn.
At least 1 year of experience developing LLM-powered applications, including retrieval systems, Prompt Engineering, tool calling, or AI agent workflows.
At least 1 year of experience developing software using AI-powered coding assistants, such as Claude Code, Cursor, or GitHub Copilot.
At least 1 year of hands-on experience with cloud-based AI and data services on AWS, Microsoft Azure, or Google Cloud Platform.
At least 1 year of experience using version control systems and tools such as Git.
Strong understanding of machine learning concepts, AI application development, and modern software engineering practices.
Instructional Design and Educational Experience
At least 3 years of professional experience in instructional design, curriculum development, or teaching technical subjects to adult learners.
Proven ability to transform complex technical concepts into clear, structured, and engaging educational materials.
Experience designing learning objectives, developing technical course content, and creating practical learning activities.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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