AI Instructor

أكادمية طويق بالشراكة مع وزارة الداخلية

الجهة
أكادمية طويق بالشراكة مع وزارة الداخلية
الموقع
Riyadh, Saudi Arabia
نوع التوظيف
دوام كامل
آخر موعد
2026-08-19 1448/03/06
التقديم على الوظيفة

الرابط يفتح صفحة هذه الوظيفة على بوّابة الجهة نفسها.

تفاصيل الوظيفة

Job Overview We are seeking an experienced AI Trainer to design and deliver high-quality training programs in Artificial Intelligence. The ideal candidate is passionate about teaching, possesses strong technical expertise in AI, and can translate complex concepts into practical, hands-on learning experiences. The trainer will prepare learners for real-world AI careers through project-based instruction and technical mentorship. Responsibilities ● Deliver instructor-led training in Artificial Intelligence and Generative AI. ● Teach both foundational and advanced AI concepts through practical, project-based learning. ● Guide trainees in building production-ready AI applications. ● Evaluate learner performance and provide constructive technical feedback. ● Support learners throughout their training journey and encourage continuous improvement. ● Stay up to date with emerging AI technologies, frameworks, and best practices. Requirements ● Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. ● 3+ years of professional experience in Artificial Intelligence, Machine Learning, Data Science, or a related field. ● Experience delivering technical training, workshops, bootcamps, or mentoring. ● Strong proficiency in Python and common AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, or LangChain. ● Excellent communication and presentation skills. ● Ability to explain complex technical concepts to learners with different levels of experience. Preferred Skills ● Experience building AI-powered applications. ● Knowledge of vector databases such as Pinecone, Chroma, Milvus, or FAISS. ● Experience with MLOps concepts and model deployment. ● Experience using Docker and Git. ● Familiarity with cloud platforms (AWS, Azure, or GCP). Show more Show less

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