Company Description
London International Studies and Research Centre is dedicated to advancing education and research by offering world-class academic and training programs. With a commitment to innovation and excellence, the institution provides a diverse platform for professional and personal development. We aim to equip learners and professionals with essential skills required to thrive in a rapidly changing global landscape.
Our mission is to inspire learning, foster research, and lead the way in empowering individuals and organizations.
Role Description
This is a full-time on-site role for a Lead Trainer for AI Program, located in Dubai, United Arab Emirates. The Lead Trainer will design and deliver comprehensive AI training programs, create curriculum material, conduct workshops, and facilitate hands-on learning sessions for participants.
The individual will evaluate training outcomes, provide mentorship to learners, and collaborate with stakeholders to ensure alignment between program objectives and industry standards. Responsibilities will also include staying updated on AI advancements to continuously improve course content.
Experience Required
Minimum 7+ Years of Training Experience
(With at least 3–5 years specializing in Artificial Intelligence, Generative AI, Machine Learning, and AI Application Development)
Location
Dubai, UAE - Onsite
Key Responsibilities
Training Delivery
- Deliver engaging classroom, online, and hybrid AI training sessions.
- Conduct hands-on workshops, bootcamps, and project-based learning activities.
- Explain complex AI concepts in a simplified and practical manner.
- Prepare students for industry certifications and professional AI roles.
- Evaluate student performance through assessments, assignments, and capstone projects.
Curriculum Development
- Design and update AI course content aligned with current industry trends.
- Create lab exercises, case studies, projects, and assessments.
- Continuously update training materials to incorporate emerging AI technologies and tools.
- Develop learning paths for beginners, intermediate, and advanced learners.
Technical Mentorship
- Guide learners in developing AI-powered applications and solutions.
- Support students in capstone projects and portfolio development.
- Provide technical consultation and career guidance.
Research & Innovation
- Stay updated with the latest developments in AI, Machine Learning, and Generative AI.
- Evaluate and integrate emerging AI platforms and frameworks into training programs.
- Contribute to AI-focused workshops, webinars, and corporate training engagements.
Required Technical Expertise
Generative AI & Large Language Models
- ChatGPT (GPT-4/GPT-5)
- OpenAI API
- GPT Engine Development
- Prompt Engineering
- AI Agents and Autonomous Workflows
- Function Calling and Tool Integration
- Multimodal AI Applications
AI Development Platforms
- Azure AI Foundry
- Google AI Studio
- Vertex AI
- AWS AI Services
- Firebase AI Applications
No-Code / Low-Code AI Development
- Lovable
- Base44
- Replit AI
- Bolt.new
- V0 by Vercel
- Cursor AI
- Windsurf
- Claude Artifacts
AI Coding & Development Tools
- OpenAI Codex
- Claude AI
- GitHub Copilot
- Mistral AI
- Cursor IDE
- AI-assisted Software Development
Retrieval-Augmented Generation (RAG)
- RAG Architecture
- Vector Databases
- Embeddings
- Knowledge Retrieval Systems
- Semantic Search
- LangChain
- LlamaIndex
- Pinecone
- ChromaDB
- Weaviate
Agentic AI Engineering
- AI Agents
- Multi-Agent Systems
- Agent Orchestration
- MCP (Model Context Protocol)
- LangGraph
- CrewAI
- AutoGen
- Workflow Automation
Machine Learning & Data Science
- Python
- NumPy
- Pandas
- Scikit-Learn
- TensorFlow
- PyTorch
- AWS SageMaker
- Deep Learning
- NLP
- Computer Vision
API & Application Development
- FastAPI
- REST APIs
- Webhooks
- Authentication Systems
- Cloud Deployment
- Docker
- CI/CD Fundamentals
Data Analytics & Business Intelligence
- Power BI
- SQL
- Tableau
- Data Visualization
- Business Intelligence Reporting
Qualifications
- Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.
- Professional certifications in AI, Cloud Computing, Machine Learning, or Data Science are preferred.
- Strong portfolio of AI projects, applications, or training programs delivered.
Essential Skills
- Exceptional presentation and communication skills.
- Strong classroom management and facilitation abilities.
- Ability to teach technical concepts to both technical and non-technical audiences.
- Excellent problem-solving and mentoring capabilities.
- Passion for learning and adopting new AI technologies.
Preferred Industry Certifications
- Microsoft Azure AI Engineer
- Microsoft AI Fundamentals
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- OpenAI Developer Certification (if applicable)
- TensorFlow Developer Certificate
- Generative AI Certifications
Employment Type
Salary Range
Competitive and commensurate with experience and technical expertise.
