About this role
As part of an Agile team, the Lead Machine Learning Engineer will productionize machine learning applications and systems at scale, focusing on ML architectural design, developing and reviewing model and application code, and ensuring high availability and performance. The role includes building and maintaining ML models and data pipelines, retraining and monitoring models in production, leveraging cloud architectures, and following CI/CD and Responsible/Explainable AI practices.
Skills for this role
Machine LearningML EngineeringModel TrainingHyperparameter TuningFeature SelectionDimensionalityBias/Variance analysisModel ValidationModel DeploymentModel MonitoringData PipelinesDistributed ComputingBig DataPythonScalaJavascikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud PlatformContinuous IntegrationContinuous DeploymentTest AutomationModel GovernanceResponsible AIExplainable AI (XAI or Explainability techniques and practices)