[Position]: ML Infrastructure Engineer | Data Pipelines & Model Serving Specialist
[Programming Languages]: Python, Go, TypeScript, Apache Spark, Airflow, Kafka, PostgreSQL, Redis, Docker, Kubernetes, Ray
[Other Info]: MLOps, Feature Stores, Model Serving, Data Pipelines, Real-time Inference, Experiment Tracking
[Years Experience]: Training Pipelines, Online/Offline Feature Stores, Model Deployment (batch & real-time), A/B Testing Frameworks, Monitoring for ML Systems
[Availability] 40+hours/week, once I start out work, immediately
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