AI Engineer (Saudi Only)

Lucidya; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A technology firm specializing in AI solutions is seeking an AI engineer to design and implement innovative artificial intelligence systems. The role involves optimizing machine learning algorithms, managing large datasets, and collaborating with cross-functional teams. The ideal candidate will have robust experience in AI development using frameworks like TensorFlow or PyTorch. This position is based in Riyadh, Saudi Arabia.

Qualifications

• Strong expertise in machine learning and deep learning.
• Proficiency in programming languages such as Python or Java.
• Experience with data preprocessing and algorithm optimization.

Responsibilities

• Design and optimize machine learning algorithms.
• Manage and preprocess large datasets for AI models.
• Train machine learning models and evaluate their performance.
• Develop neural networks using deep learning frameworks.

Skills

Machine learning

Deep learning

Python programming

Data analysis

Team collaboration

Tools

TensorFlow

PyTorch

Job description

The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.

1. Design and optimize machine learning algorithms for specific applications.
2. Manage and preprocess large datasets to extract relevant features for training AI models.
3. Train machine learning models and evaluate their performance through testing.
4. Use programming languages (e.g., Python, Java) for AI development.
5. Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.
6. Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
7. Analyze complex problems and propose innovative AI solutions to address business challenges.
8. Stay updated on the latest advancements in AI and integrate new technologies into existing systems.
9. Ensure AI applications comply with ethical standards and legal regulations.
10. Prepare comprehensive documentation for algorithms, models, and processes.
11. Engage in ongoing learning to stay abreast of emerging technologies and industry trends.
12. Assist in deploying AI models into production environments, ensuring scalability and efficiency.