Posted
Ref: HP350-9419
Job description / Role
Full Time
Saudi Arabia
Any Nationality
Not Specified
Not Specified
Not Specified
IT - Software & Web Development
IT, Software & Internet Services
This role will play a key part in building scalable AI applications, leveraging machine learning and Generative AI technologies to unlock business value across the organization.
Client Details
This is a public sector organisation based in Riyadh, known for its focus on innovation and technology-driven initiatives.
Description
* Design, build, and deploy machine learning models for predictive and prescriptive analytics
* Develop AI-driven solutions such as chatbots, recommendation systems, risk models, and automation tools
* Implement and optimize Generative AI use cases (LLMs, prompt engineering, RAG frameworks)
* Evaluate model performance and continuously improve accuracy and efficiency
* Collect, clean, and analyze structured and unstructured data
* Perform feature engineering and model validation
Job Offer
* Collaborative and forward-thinking environment
* Competitive compensation aligned with market benchmarks
Requirements:
* Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field
* 3-8+ years of experience in Data Science, AI, or Machine Learning roles
* Proven experience deploying AI/ML solutions into production
* Experience working with cross-functional stakeholders
About the Company
Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world.
The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of:
Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal
The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.
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