
Lucidya
AI Engineer
- Permanent
- Riyadh, Saudi Arabia
- Experience 2 - 5 yrs
- Urgent
Job expiry date: 02/10/2025
Job overview
Date posted
18/08/2025
Location
Riyadh, Saudi Arabia
Salary
Undisclosed
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
02/10/2025
Job description
The AI Engineer will design, develop, and implement AI solutions to solve complex problems and enhance organizational efficiency. This role involves building intelligent systems using machine learning and deep learning techniques, managing large datasets, and deploying scalable AI applications. The engineer will collaborate with data scientists, software engineers, and domain experts to deliver impactful AI-driven solutions across areas such as data analysis, image recognition, and natural language processing.
Required skills
Artificial Intelligence
Machine Learning
Deep Learning
Neural Networks
TensorFlow
PyTorch
Data Preprocessing
Feature Engineering
Python
Java
Algorithm Design
Model Training & Evaluation
NLP (Natural Language Processing)
Image Recognition
Model Deployment
MLOps
Scalability & Optimization
Cross-functional collaboration
AI Ethics & Compliance
Technical Documentation
Key responsibilities
- Design and optimize machine learning algorithms for targeted business applications
- Preprocess and manage large datasets for feature extraction and model training
- Train, test, and validate machine learning and deep learning models
- Implement AI solutions using Python, Java, and modern ML/DL frameworks
- Develop neural networks with TensorFlow or PyTorch
- Collaborate with cross-functional teams to integrate AI into products and systems
- Analyze complex problems and propose innovative AI-driven solutions
- Deploy AI models into production ensuring efficiency and scalability
- Monitor AI applications for performance and continuously improve models
- Stay current with AI/ML research, tools, and best practices
- Ensure compliance with ethical AI standards and regulatory requirements
- Document algorithms, workflows, and processes for knowledge sharing
Experience & skills
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- Proven experience in AI engineering, ML model development, and deployment
- Strong programming skills in Python (preferred) and Java
- Hands-on experience with TensorFlow, PyTorch, or similar frameworks
- Experience in data preprocessing, feature engineering, and model optimization
- Understanding of NLP, image recognition, and predictive modeling
- Familiarity with MLOps, cloud platforms (AWS, Azure, GCP) is a plus
- Ability to analyze and solve complex business problems using AI
- Strong collaboration skills with cross-functional technical teams
- Fluency in English; Arabic is an advantage