AI, Engineer

Master-Works

Riyadh

On-site

SAR 180,000 - 320,000

Full time

6 days ago
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Job summary

Master Works is seeking an AI Engineer to design, develop, and deploy AI/ML solutions to solve real-world business problems. The role focuses on building end-to-end AI pipelines, from data collection and preprocessing to training and deployment.

The ideal candidate has experience with TensorFlow, PyTorch, Scikit-learn, and strong Python skills, with know-how in ML/DL algorithms, MLOps, and containerization (Docker/Kubernetes).

Qualifications

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

Responsibilities

  • Design, develop, and implement AI solutions using ML, DL, and big data analytics.
  • Develop and maintain end-to-end AI pipelines from data collection to deployment.
  • Analyze large datasets to provide actionable insights.
  • Integrate AI solutions with existing systems to improve efficiency and innovation.
  • Collaborate with cross-functional teams and mentor team members in AI fields.
  • Optimize model performance, scalability, and production reliability.
  • Track and evaluate AI model performance for continuous improvement.

Skills

Python
TensorFlow
PyTorch
Scikit-learn
ML/DL algorithms
Big data analytics
REST APIs
Git
MLOps
Docker
Kubernetes
CI/CD
LLMs / Generative AI
Prompt engineering
Data privacy & security

Education

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

Tools

Docker
Kubernetes
CI/CD pipelines
REST APIs
Git

Job description

Master Works is seeking a skilled AI, Engineer to design, develop, and deploy artificial intelligence and machine learning solutions that solve real-world business problems. The ideal candidate has strong experience in machine learning, data engineering, and software development, and is comfortable taking models from research to production.

Key Responsibilities
  • Design, develop, and implement innovative solutions using AI technologies such as machine learning (ML), deep learning (DL), and big data analytics.
  • Develop and maintain end-to-end AI pipelines, from data collection and preprocessing to model training and deployment.
  • Analyze large and complex datasets using advanced techniques to provide actionable solutions.
  • Integrate AI solutions with existing systems to enhance efficiency and innovation.
  • Work with cross-functional teams to guide and train team members in AI-related fields.
  • Optimize model performance, scalability, and reliability in production environments.
  • Track and evaluate the performance of AI models to ensure continuous improvement.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Experience with AI tools and technologies such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong programming skills in Python.
  • In-depth knowledge of machine learning and deep learning algorithms.
  • Ability to work with big data and analyze it.
  • Familiarity with REST APIs, version control (Git), and software engineering best practices
  • Experience with MLOps, containerization, and deployment tools (Docker, Kubernetes, CI/CD pipelines).
  • Experience with large language models (LLMs), generative AI, or prompt engineering.
  • Understanding of data privacy, security, and responsible AI principles.

Job Location: Client Site

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