to design and deliver high-quality training programs. The ideal candidate should have a strong background in data science, machine learning, and artificial intelligence, with a flair for teaching and mentoring learners across varying levels of expertise.
Key Responsibilities
Design and deliver training sessions on Data Science, Machine Learning, Deep Learning, and AI tools and techniques
Develop course materials, including slide decks, coding exercises, quizzes, and projects
Conduct live workshops, webinars, or classroom sessions (in-person or virtual)
Mentor and support students or professionals in hands-on projects and capstone assignments
Stay updated with the latest developments in AI/ML and update training content accordingly
Evaluate participant progress through assessments and provide constructive feedback
Assist in designing curriculum paths for beginner, intermediate, and advanced learners
Collaborate with internal teams (e.g., content, product, and tech teams) to improve learning outcomes
Required Skills and Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
3+ years of experience in Data Science / Machine Learning / AI roles
Prior experience as a trainer, instructor, or mentor (preferred)
Proficient in Python and ML libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.)
Strong understanding of statistics, data preprocessing, and model evaluation
Hands-on experience with real-world data and projects
Knowledge of cloud platforms (AWS, GCP, Azure) is a plus
Excellent communication and presentation skills
Passion for teaching and helping others succeed
Nice to Have
Experience with LLMs, Generative AI, or NLP models (e.g., GPT, BERT)
Familiarity with tools like Jupyter, Google Colab, Tableau/Power BI
Experience in deploying ML models (Flask, FastAPI, Docker)
Published courses or content (YouTube, Coursera, Udemy, etc.)
Job Types: Full-time, Part-time, Permanent
Pay: AED100.00 - AED10,000.00 per month
Expected hours: 14 - 28 per week
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