AI Engineer – Machine Learning, Generative AI & MLOps | Riyadh, Saudi Arabia

Master Works; Saudi Arabia; On-site; SAR 180,000 - 280,000; Full time

Benefits offered by this job

Career development opportunities

Job summary

Master Works in Riyadh, Saudi Arabia, is seeking an AI Engineer to design, develop, and deploy AI/ML solutions that address real-world business challenges. The role covers data collection, preprocessing, model training, deployment, and ongoing optimization for production environments.

The ideal candidate will work with large datasets, integrate AI into existing systems, and focus on model performance, scalability, and reliability while pursuing hands-on experience with MLOps, LLMs, and

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience in Artificial Intelligence and Machine Learning.
• Strong programming skills in Python.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• In-depth knowledge of machine learning and deep learning algorithms.
• Strong ability to work with and analyze large datasets.
• Familiarity with REST APIs and software integration.
• Experience with Git and software engineering best practices.
• Experience with MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of model deployment and production AI environments.
• Experience with Large Language Models (LLMs), Generative AI, or prompt engineering.
• Understanding of data privacy and information security principles.
• Knowledge of responsible AI principles.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively with cross-functional teams.

Responsibilities

• Design, develop, and implement AI solutions using machine learning, deep learning, and big data analytics.
• Build and maintain end-to-end AI pipelines from data collection and preprocessing through model deployment.
• Train, evaluate, and optimize machine learning and deep learning models.
• Analyze large and complex datasets to identify actionable business insights.
• Integrate AI solutions with existing enterprise systems and applications.
• Develop scalable and reliable AI solutions for production environments.
• Monitor and evaluate AI model performance after deployment.
• Continuously improve model accuracy, scalability, and reliability.
• Work with cross-functional teams on AI-related projects and initiatives.
• Guide and train team members in AI technologies and best practices.
• Implement MLOps practices for model deployment and lifecycle management.
• Apply software engineering best practices to AI development.
• Support responsible and secure implementation of AI solutions.
• Work with emerging technologies including LLMs, generative AI, and prompt engineering.

Skills

Python

Artificial Intelligence

Machine Learning

Deep Learning

REST APIs

Git

MLOps

Docker

Kubernetes

CI/CD

LLMs/Generative AI

Data privacy

Information security

Collaboration

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Location

Riyadh, Saudi Arabia – On-site, Client Site

Job Category

• Information Technology (IT) & Software
• Science & Research
• Engineering & Technical
• Others / Miscellaneous

Job Overview

Master Works is seeking a skilled AI Engineer to design, develop, and deploy artificial intelligence and machine learning solutions that address real-world business challenges. The role is suited to an AI professional with strong capabilities across machine learning, deep learning, data engineering, and software development, with the ability to take AI models from research and experimentation through to production.

The successful candidate will develop end-to-end AI pipelines covering data collection, preprocessing, model training, deployment, and ongoing optimization. The position also involves working with large datasets, integrating AI solutions with existing systems, and improving model performance, scalability, and reliability in production environments.

This opportunity offers strong potential for career growth and professional development through hands‑on exposure to machine learning, generative AI, large language models, MLOps, big data, and production AI systems. Relevant AI, cloud, machine learning, or MLOps certification and technical training can further support professional development.

Key Responsibilities

• Design, develop, and implement AI solutions using machine learning, deep learning, and big data analytics.
• Build and maintain end-to-end AI pipelines from data collection and preprocessing through model deployment.
• Train, evaluate, and optimize machine learning and deep learning models.
• Analyze large and complex datasets to identify actionable business insights.
• Integrate AI solutions with existing enterprise systems and applications.
• Develop scalable and reliable AI solutions for production environments.
• Monitor and evaluate AI model performance after deployment.
• Continuously improve model accuracy, scalability, and reliability.
• Work with cross-functional teams on AI-related projects and initiatives.
• Guide and train team members in AI technologies and best practices.
• Implement MLOps practices for model deployment and lifecycle management.
• Apply software engineering best practices to AI development.
• Support responsible and secure implementation of AI solutions.
• Work with emerging technologies including LLMs, generative AI, and prompt engineering.

Requirements & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong professional experience in Artificial Intelligence and Machine Learning.
• Strong programming skills in Python.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• In-depth knowledge of machine learning and deep learning algorithms.
• Strong ability to work with and analyze large datasets.
• Familiarity with REST APIs and software integration.
• Experience with Git and software engineering best practices.
• Experience with MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of model deployment and production AI environments.
• Experience with Large Language Models (LLMs), Generative AI, or prompt engineering.
• Understanding of data privacy and information security principles.
• Knowledge of responsible AI principles.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively with cross-functional teams.

Salary, Benefits & Career Growth

Salary details have not been provided for this position.

The role provides opportunities for career progression and professional development through hands‑on work with AI, machine learning, deep learning, generative AI, LLMs, big data, and MLOps. Professionals can further develop their expertise through advanced AI and machine learning training, technical upskilling, and relevant professional certifications.

Job Location: Client Site
Work Arrangement: On‑site
Company: Master Works