Technology Education Specialist

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.
Understanding of assessment methodologies and the ability to evaluate whether learners have successfully acquired targeted skills.
Strong ability to combine technical expertise with effective teaching and instructional design principles.
Communication and Collaboration Skills
Professional proficiency in written and spoken English.
Excellent technical writing and copy-editing skills, with the ability to review educational materials against established style guidelines.
Strong analytical and problem-solving abilities, particularly when developing and validating technical learning solutions.
Excellent attention to detail and a commitment to maintaining high standards of technical accuracy.
Ability to collaborate effectively with subject matter experts, technical authors, testers, and other stakeholders.
A proactive, adaptable, and continuous-learning mindset, with an interest in emerging AI technologies and educational innovation.
Education
Bachelor's degree or equivalent professional experience, with a minimum of 12 years of combined education and work experience, as specified in the original qualification criteria.
Candidates holding an Associate's degree must have at least 6 years of professional work experience.
Preferred Qualifications and Additional Skills
Experience developing AI agent systems using frameworks such as LangGraph or the OpenAI Agents SDK.
Knowledge of LLM and AI agent evaluation methodologies, including evaluation datasets and LLM-as-a-judge scoring.
Experience designing, authoring, and testing hands-on technical labs and projects from end to end.
Familiarity with AI security practices, including prompt injection prevention, security guardrails, and responsible AI implementation.
Experience building or integrating Model Context Protocol (MCP) servers.
Knowledge of SQL, relational databases, and data modelling.
Experience with data visualisation tools such as Matplotlib, Tableau, or Power BI.
Exposure to Natural Language Processing (NLP), computer vision, or multimodal AI models.
Relevant AI or Machine Learning certifications from AWS, Microsoft, Google Cloud, or NVIDIA.
Benefits:
Remote working: Fully remote position based in India, offering flexibility in your working environment.
Professional development: Opportunities to deepen your expertise in Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies.
Cutting-edge technologies: Hands-on exposure to LLMs, AI agents, cloud-based AI platforms, and modern development frameworks.
Meaningful impact: Contribute to large-scale workforce upskilling initiatives and help professionals acquire in-demand technical skills.
Cross-functional collaboration: Work alongside subject matter experts, technical specialists, authors, and learning professionals.
Continuous learning: Opportunities to explore new AI tools, frameworks, and technical education methodologies.
Career growth: Develop your expertise across AI engineering, technical content development, curriculum design, and instructional innovation.
Innovation-driven environment: Contribute to the development of modern, practical, and outcome-oriented learning experiences.
Global exposure: Participate in enterprise-level learning initiatives designed to support professionals and organisations across different industries.