About this role
Owns the scalable data and ML infrastructure for a next-generation media super-app, building data architecture, streaming pipelines, feature stores, and analytical datasets to power content discovery and personalised recommendations. Responsible for deploying and operationalising ML/AI models into production on cloud platforms and ensuring pipeline and model performance, latency, scalability, and reliability.
Skills for this role
PythonJavaScalaApache SparkApache KafkaApache FlinkApache AirflowBatch processingReal-time streamingData lakesData warehousesDistributed storageData architectureData modelingDistributed systemsFeature engineeringFeature storesML training pipelinesML inference pipelinesML model deploymentDockerKubernetesAWSGoogle Cloud PlatformMicrosoft AzureAPI developmentModel monitoringData qualityData lineageObservability