Applied AI Engineer: End-to-End ML & MLOps

Remal Ventures; Saudi Arabia; On-site; SAR 224,971 - 299,962; Full time

Job summary

A cutting-edge technology company in Saudi Arabia is seeking a highly skilled Applied AI/Machine Learning Engineer to build end-to-end machine learning solutions. The ideal candidate has a strong background in Python programming, machine learning algorithms, and data engineering. You will design models to enhance player experience and collaborate with cross-functional teams in a dynamic environment. This role offers opportunities for innovation and growth.

Qualifications

• 3–7 years of hands-on experience in machine learning, data science, or AI engineering.
• Proven experience delivering end-to-end ML projects from concept to deployment.

Responsibilities

• Design, develop, and deploy machine learning models for real-world use cases.
• Build and maintain data pipelines (ETL/ELT).
• Collaborate with product and engineering teams to integrate AI models into production.
• Implement and manage MLOps practices.
• Conduct exploratory data analysis to guide model features.
• Optimize models for accuracy, latency, and scalability.
• Develop dashboards and reports to communicate model performance.
• Stay current with advances in ML/AI frameworks.

Skills

Programming in Python

Machine learning algorithms

Data engineering tools

MLOps / production deployment

Cloud platforms (AWS, GCP, or Azure ML)

Version control (Git)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

Tools

TensorFlow

PyTorch

SQL

NoSQL databases

Docker

Kubernetes

Job description

A cutting-edge technology company in Saudi Arabia is seeking a highly skilled Applied AI/Machine Learning Engineer to build end-to-end machine learning solutions. The ideal candidate has a strong background in Python programming, machine learning algorithms, and data engineering. You will design models to enhance player experience and collaborate with cross-functional teams in a dynamic environment. This role offers opportunities for innovation and growth.