About the job
mylo is a fintech platform offering responsible financial solutions for individuals and businesses in Egypt. With buy now, pay later services available at thousands of retail locations, mylo helps customers manage purchases like phones, flights, and school tuition. The company builds on B. TECH’s 27 years of experience in electronics retail and installment solutions. All products are Sharia-compliant, supporting ethical and inclusive finance.
Role overview
The Senior MLOps Engineer bridges advanced AI models and production systems. This position centers on designing, building, and maintaining automated, scalable infrastructure for every stage of the machine learning lifecycle. Strong MLOps and DevOps expertise is essential to help the AI team deploy and refine models quickly and reliably.
What you will do
- Develop and maintain MLOps pipelines: Build CI/CD pipelines that support training, evaluation, and deployment of machine learning models.
- Manage cloud infrastructure: Set up and oversee environments in AWS, GCP, or Azure using Infrastructure as Code (IaC) practices.
- Automate processes: Streamline deployment, monitoring, and scaling for machine learning services and data pipelines.
- Containerization and orchestration: Use Docker and Kubernetes to create and manage consistent environments for ML applications.
- Collaborate with AI teams: Work closely with AI engineers and data scientists to understand requirements and build tools that fit their workflows.
- Monitor system health: Set up monitoring and logging to maintain high availability, performance, and security for the ML platform.
Location
This role is based in New Cairo City, Cairo Governorate, Egypt.
