أدخل المسمى الوظيفي أو الكلمة الرئيسية
AI Engineer
موقع الوظيفة:
الراتب شهرياً:
تم النشر:
19 سبتمبر 2026 (نُشرت قبل 8 ساعة)
تم النشر:
آخر موعد للتقديم:
17 ديسمبر 2026
آخر موعد للتقديم:
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
عدد الوظائف الشاغرة:
ملخص الوظيفة
**AI Engineer**
**Role Overview**
- We are seeking an AI Engineer to join our team in Makkah Saudi Arabia.
- This role is ideal for a professional with a B.E. degree and a minimum of 2 years of experience in the Engineering industry particularly within the Electronics sector.
- The AI Engineer will be instrumental in designing developing and deploying artificial intelligence and machine learning solutions to enhance our electronic products and systems.
**Responsibilities**
- Design develop and implement AI/ML models and algorithms.
- Collect preprocess and analyze data to train and test machine learning models.
- Evaluate and optimize model performance accuracy and efficiency.
- Integrate AI/ML solutions into existing electronic systems and platforms.
- Collaborate with cross-functional teams including hardware and software engineers to define requirements and deliver solutions.
- Research and stay updated with the latest advancements in AI machine learning and relevant technologies.
- Troubleshoot and resolve issues related to AI/ML models and their deployment.
- Contribute to the full lifecycle of AI product development from conception to deployment and maintenance.
**Required Qualifications**
- Bachelor of Engineering (B.E.) degree in Computer Science Electrical Engineering Artificial Intelligence or a related field.
- Minimum of 2 years of professional experience in an AI Engineer Machine Learning Engineer or similar role.
- Proficiency in programming languages such as Python.
- Experience with machine learning frameworks like TensorFlow PyTorch or scikit-learn.
- Strong understanding of machine learning principles algorithms and data structures.
- Familiarity with data manipulation and analysis tools (e.g. Pandas NumPy).
- Solid problem-solving abilities and analytical skills.
**Preferred Qualifications**
- Masters or Ph.D. degree in a relevant technical field.
- Experience with embedded systems IoT or signal processing applications in an electronics context.
- Knowledge of cloud platforms (e.g. AWS Azure GCP) for deploying and managing AI models.
- Familiarity with MLOps practices and tools.
- Experience with C or other low-level programming languages.
- Portfolio of relevant projects or contributions to open-source initiatives.
**Benefits**
- Opportunity to work on innovative and impactful projects within the electronics industry.
- Collaborative and supportive work environment.
- Professional growth and development opportunities.
- Exposure to cutting-edge AI and machine learning technologies.
- Contribution to solutions that shape future products.
