Machine Learning Engineer
ExpiredSan DiegoLast seen 17 days ago
Summary
Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services. Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.
Data ScienceDevOps / InfrastructureAWSAzureKubernetesMachine LearningPythonSQLA B TestingAIApache AirflowAWS SagemakerCanary ReleasesCI CDData DriftData GovernanceData PipelinesDistributed TrainingDockerFeature EngineeringFeature PipelinesFeature StoresGCPGenerative AIGpu OptimizationKubeflowLLM Large Language ModelsMlflowModel DeploymentModel MonitoringModel VersioningNLPObservabilityPyTorchQuantizationReal Time InferenceScikit LearnSparkStatisticsTensorFlowTime SeriesWeights Biases