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AI, Engineer

Master-Works · Riyadh, Riyadh Province, Saudi Arabia
WorkableApply on company site
Onsite

Role overview

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.

Requirements

  • 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

Responsibilities

1Design, develop, and implement innovative solutions using AI technologies such as machine learning (ML), deep learning (DL), and big data analytics.
2Develop and maintain end-to-end AI pipelines, from data collection and preprocessing to model training and deployment.
3Analyze large and complex datasets using advanced techniques to provide actionable solutions.
4Integrate AI solutions with existing systems to enhance efficiency and innovation.
5Work with cross-functional teams to guide and train team members in AI-related fields.
6Optimize model performance, scalability, and reliability in production environments.
7Track and evaluate the performance of AI models to ensure continuous improvement.
8Key Responsibilities

Requirements

1Bachelor’s degree in Computer Science, Engineering, or a related field.
2Experience with AI tools and technologies such as TensorFlow, PyTorch, and Scikit-learn.
3Strong programming skills in Python.
4In-depth knowledge of machine learning and deep learning algorithms.
5Ability to work with big data and analyze it.
6Familiarity with REST APIs, version control (Git), and software engineering best practices
7Experience with MLOps, containerization, and deployment tools (Docker, Kubernetes, CI/CD pipelines).
8Experience with large language models (LLMs), generative AI, or prompt engineering.
9Understanding of data privacy, security, and responsible AI principles.

Skills and tags

Executive SectorSAPythonDockerKubernetesMachine LearningAIData Analysis

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