Senior MLOps Engineer

We are looking for a skilled Senior MLOps Engineer based in Egypt to join our team. This role sits at the crossroads of engineering, data science, and product development, supporting both our in-house ML products and research/client projects.

Requirements

• Experience: 5+ years in MLOps, DevOps, or infrastructure-focused engineering roles, delivering and operating ML projects in production.
• Strong proficiency in Python, deep understanding of cutting edge ML concepts and understanding of ML/LLM workflows and constraints.
• Hands-on experience with AWS, including ECS, and designing scalable, secure, and observable cloud architectures for ML workloads.
• Expertise with Docker, Kubernetes, and managing multi-stage ML workflows.
• Experience with GitHub Actions, infrastructure as code, automated testing, and monitoring tools like Prometheus, Grafana, Loki, and Opentelemetry.
• Familiarity with ML platforms, workflow orchestration, experiment tracking, and building production-grade APIs for serving models (e.g., MLflow, Prefect, FastAPI, or equivalents).
• Hands-on experience with LLM workflows, including model orchestration, deployment, and serving using tools like LangGraph, Flowise, or equivalents.
• Knowledge of ETL pipelines, large-scale data processing, observability, telemetry, and alerting best practices.
• Ability to work with research engineers, software teams, and product managers, translating technical constraints into production-ready solutions.
• Balances reliability with velocity, ensuring reproducible, secure, and high-performing ML systems while enabling teams to ship fast.