Production ML Engineer: AI Models & MLOps

Jadeedx; Dammam; Hybrid; SAR 180,000 - 280,000; Full time

Job summary

Jadeedx is seeking an ML Engineer to design, build, and deploy scalable ML models into production in Dammam. The role emphasizes model development, data pipeline design, and performance optimization within cloud environments.

The ideal candidate has 2–4 years of hands-on experience with Python, ML frameworks, and CI/CD, plus cloud deployment using Docker/Kubernetes. Join a collaborative team delivering AI solutions.

Qualifications

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

Responsibilities

• Model Development & Deployment: Build, train, and deploy robust ML and 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 scalability to meet production requirements.
• MLOps & Monitoring: Implement CI/CD pipelines for ML models. Monitor model performance and retrain as necessary.
• Collaboration: Work alongside cross-functional teams to translate business requirements into technical AI solutions.

Skills

Python

SQL

Algorithms

CI/CD

Best practices

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Keras

Scikit-Learn

Job description

Jadeedx is seeking an ML Engineer to design, build, and deploy scalable ML models into production in Dammam. The role emphasizes model development, data pipeline design, and performance optimization within cloud environments.

The ideal candidate has 2–4 years of hands-on experience with Python, ML frameworks, and CI/CD, plus cloud deployment using Docker/Kubernetes. Join a collaborative team delivering AI solutions.