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Mlops Engineer
Build end-to-end ML pipelines and CI/CD automation for production ML deployments
Al Ahsa Governorate, Eastern Province, Saudi Arabia
Mid-Level
15 hours agoBe an early applicant
Master Works
A Saudi Arabian firm specializing in digital transformation, IT solutions, and consulting services for various industries.
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MLOps Infrastructure And CI/CD Pipelines
This role aims to design, implement, and maintain scalable, secure, and reliable MLOps infrastructure and CI/CD pipelines to enable rapid and high-quality delivery of machine learning models and data-driven services to production. The role bridges ML/Development and Operations, driving automation, reliability, monitoring, and operational excellence across environments.
Key Responsibilities
- Build and operate end-to-end pipelines for training, validation, packaging, and deployment across dev/test/prod.
- Implement CI/CD for code, data, and model artifacts with quality gates, approvals, and rollbacks.
- Deploy and scale ML services using Docker and Kubernetes (real-time and batch), with safe rollout strategies.
- Set up model registry & experiment tracking and enforce reproducible, versioned releases (e.g., MLflow or equivalent).
- Implement monitoring/alerting for service health, latency, errors, resource usage, plus ML signals (drift, data quality, model performance).
- Define operational standards (SLIs/SLOs, incident response, RCA, runbooks) and continuously improve reliability.
- Enforce security best practices (IAM/RBAC, secrets management, network controls, audit logging) and collaborate with DS/ML/Data teams.
About Master Works
A Saudi Arabian firm specializing in digital transformation, IT solutions, and consulting services for various industries.