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AI & DATA SCIENCE TRAINER (Multilingual)

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Onsite

AI & DATA SCIENCE TRAINER (Multilingual)

Universal Institute

AI & DATA SCIENCE TRAINER (Multilingual)

Skills

Google Cloud PlatformSQL QueriesDeep LearningDockerFlaskPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowData AnalysisMachine LearningAIAWSNo-code AutomationsNLP / Natural Language ProcessingFastAPIAzure

16 days ago

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Important information


Contract type:

Freelance / Contract, Temporary, Part time, Internship

Location:

Salmiya, Kuwait

Work mode:

Onsite

Published on:

10 October 2026

What they need


About the Role

We are seeking an energetic, technically proficient, and highly articulate Multilingual AI & Data Science Trainer to join our team in Kuwait. In this role, you will bridge the gap between complex cutting-edge technologies and practical execution—designing and delivering high-impact training programs, workshops, and corporate bootcamps across Data Analytics, Machine Learning, Generative AI, and AI Automation.

Key Responsibilities

  • Training Delivery: Plan and conduct engaging, hands-on technical training sessions in English and Arabic (or other relevant regional languages) for individuals, enterprise clients, and student cohorts.
  • Curriculum Development: Design, update, and maintain robust course materials, real-world case studies, practical assignments, and end-to-end capstone projects.
  • Hands-on Mentorship: Guide learners through real-world implementation, code debugging, model training, deployment pipelines, and AI workflow automation.
  • Assessment & Feedback: Evaluate participant performance, provide constructive technical guidance, and ensure measurable learning outcomes.
  • Tech Stack Evolution: Stay ahead of fast-evolving AI trends, tools, and frameworks to keep learning modules modern and industry-aligned.

Required Expertise & Technical Stack

  • Programming & Databases: Advanced Python (Pandas, NumPy, Scikit-learn) and SQL for relational database management and querying.
  • Data Science & Analytics: Data wrangling, exploratory data analysis (EDA), statistical modeling, and data visualization tools.
  • Machine Learning & Deep Learning: Supervised/unsupervised learning, neural networks, computer vision, NLP, and frameworks like TensorFlow or PyTorch.
  • Generative AI & Prompt Engineering: Large Language Models (LLMs), RAG architectures, prompt optimization, fine-tuning, and API integrations (OpenAI, Anthropic, open-source models).
  • AI Automation & Agents: Agentic workflows (LangChain, LlamaIndex, AutoGen) and AI process automation integrations.
  • Model Development & Deployment: End-to-end MLOps basics, model optimization, Docker, FastAPI/Flask, and cloud deployment (AWS/Azure/GCP).

Requirements & Qualifications

  • Education: Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or a closely related technical discipline.
  • Language Capability: Multilingual fluency (Arabic and English required) with exceptional oral and written communication skills in both languages.
  • Practical Experience: Strong hands-on technical background in building AI/data solutions, accompanied by prior experience in training, teaching, or public technical speaking.
  • Presentation Skills: Outstanding interpersonal skills with the ability to break down complex technical topics into clear, digestible concepts for varied audience levels.

Pay: From KD10.000 per hour

Expected hours: 10.0 per week

Work Location: In person

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