ML Ops Engineer

SWATX is seeking a skilled ML Ops Engineer to join their team in Riyadh, Saudi Arabia. This role focuses on deploying, managing, and optimizing machine learning models in both preproduction and production environments. The ideal candidate will have extensive experience with Dataiku and MLFlow, working with both traditional VM-based workloads and containerized environments.

The position requires a strong background in DevOps practices, particularly with Azure DevOps and Jenkins, and expertise in operating compute workloads on Linux systems and Kubernetes environments. You'll be responsible for developing ML pipelines, implementing CI/CD processes, and ensuring optimal model performance while working closely with data scientists and engineers.

This is an excellent opportunity for a mid-level engineer with 3+ years of experience in MLOps to work with cutting-edge technologies, including local LLM deployment and optimization. The role combines machine learning expertise with strong operational knowledge, making it perfect for someone who enjoys working at the intersection of ML and infrastructure.

The position offers hands-on experience with various technologies including Dataiku, MLFlow, Docker, Kubernetes, and major ML frameworks. You'll be working with a team focused on implementing best practices in machine learning operations while ensuring scalability and reliability of ML systems. The role provides an excellent opportunity to grow your skills in both ML and operations while working with a company at the forefront of ML implementation in Saudi Arabia.