ZS · 1 week ago

Machine Learning Engineer

Bellevue, WA

Full-time

Onsite

Mid Level

2+ years exp

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Responsibilities

Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training

Scaling machine learning algorithms to work on massive data sets and strict SLAs

Build & Enhance ML Engineering platforms and components

Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop

Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors

Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews

Collaborate with client teams and global development team to successfully deliver projects

Uses bug tracking, code review, version control and other tools to organize and deliver work

Participate in scrum calls, and effectively communicate work progress, issues and dependencies

Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.

Qualification

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PythonPySparkML PlatformsAWSAzureGCPFeature EngineeringInferencing PipelinesReal-Time PredictionsML OpsMachine LearningDeep LearningComputer ScienceData StructuresAlgorithmsDesign PatternsProblem-SolvingCommunicationSparkDevOpsCI/CDData SecurityCloud Platform DesignData EngineeringBig Data Systems