ML Ops Engineer

SWATX is seeking an ML Ops Engineer to join their team, focusing on the deployment, management, and optimization of machine learning models in both preproduction and production environments. This role combines traditional DevOps practices with machine learning expertise, requiring experience with both VM-based workloads and containerized environments. The position demands expertise in tools like Dataiku and MLFlow, along with strong knowledge of CI/CD practices and infrastructure management.

The role involves working with cutting-edge ML technologies, including local LLM deployment and optimization, while ensuring robust operational practices. You'll be responsible for building and maintaining ML pipelines, implementing monitoring solutions, and collaborating with data scientists to ensure model scalability and reliability. The position requires a strong technical foundation with 3+ years of experience in MLOps or related fields.

This is an excellent opportunity for a mid-level engineer looking to work at the intersection of DevOps and Machine Learning. The role offers hands-on experience with various technologies and tools, from traditional Linux systems to modern containerized environments. Located in New Cairo City, Egypt, this position provides the chance to work on implementing and maintaining ML systems at scale, making it ideal for someone passionate about both operations and machine learning technologies.