ML Ops Engineer — Build & Scale Production AI Systems
Summary
Owns the infrastructure, deployment, monitoring, and optimization of AI systems in production, building pipelines to move models from experimentation to scalable operation.
Miral Destinations is seeking an ML Ops Engineer to own the infrastructure, deployment, monitoring, and optimization of AI systems in production. You will build and maintain pipelines and platforms that move models from experimentation to scalable, secure operation, collaborating with the AI & Data organization to align with the destination's AI roadmap.
The role requires 3–5 years in ML Ops/DevOps, hands-on experience with Databricks, MLflow, Python, and containerized environments