AI, Engineer

On-siteExecutive SectorRiyadh, Riyadh Province, Saudi Arabia; Riyadh; On-site; SAR 120,000 - 190,000; Full time

Job summary

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.

You will design and maintain end-to-end AI pipelines, from data collection and preprocessing to model training and deployment, analyze large datasets,

Responsibilities

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

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.