AI Engineer

Jadeedx; Saudi Arabia; On-site; SAR 120,000 - 190,000; Full time

Job summary

Jadeedx in Saudi Arabia is seeking a machine learning engineer to design, train, and productionize models, building scalable pipelines and deploying with Docker/Kubernetes.

You will optimize AI software, implement MLOps, monitor models in production, and collaborate with data and software teams to translate business needs into reliable AI solutions.

Qualifications

• 2–4 years of professional experience in machine learning, software engineering, or AI development.
• Strong proficiency in Python.
• Familiarity with SQL and optionally C++ or Java.
• Hands-on experience with popular frameworks such as PyTorch, TensorFlow, Keras, or Scikit-Learn.
• Experience deploying models on cloud platforms (AWS, GCP, or Azure) using containers like Docker and Kubernetes.

Responsibilities

• Model Development & Deployment: Build, train, and deploy robust ML/DL models into production environments.
• Pipeline Engineering: Design and maintain scalable data pipelines for ingestion, preprocessing, and feature engineering.
• System Optimization: Optimize AI algorithms for speed, memory, and production requirements.
• MLOps & Monitoring: Implement CI/CD pipelines for ML models; monitor performance and retrain as needed.
• Collaboration: Work with cross-functional teams to translate business requirements into AI solutions.

Skills

Python

SQL

C++/Java

ML frameworks

Tools

Docker

Kubernetes

Cloud platforms

ML frameworks

Job description

Design, build, and deploy scalable machine learning models into production.

Responsibilities

• Model Development & Deployment: Build, train, and deploy robust machine learning and deep learning models into production environments.
• Pipeline Engineering: Design and maintain scalable data pipelines for data ingestion, preprocessing, and feature engineering.
• System Optimization: Optimize AI algorithms for speed, memory, and scalability to ensure they meet production requirements.
• MLOps & Monitoring: Implement continuous integration/continuous deployment (CI/CD) pipelines for ML models. Monitor model performance in the wild and retrain as necessary.
• Collaboration: Work alongside cross-functional teams to translate business requirements into technical AI solutions.

Requirements

• 2–4 years of professional experience in machine learning, software engineering, or AI development.
• Strong proficiency in Python.
• Familiarity with SQL and optionally C++ or Java.
• Hands-on experience with popular frameworks such as PyTorch, TensorFlow, Keras, or Scikit-Learn.
• Experience deploying models on cloud platforms (AWS, GCP, or Azure) using containerization tools like Docker and Kubernetes.
• Solid understanding of data structures, algorithms, and software engineering best practices (version control, testing, code review).

2 years