Must-Have Skills
Deployingmonitoringand scaling ML modelsCollaborating with data scientists and engineersSupporting ML lifecycleApplying data engineering best practicesUsing MLOps tools and CI/CDExperience with ML frameworksModel deployment toolsDistributed data processingUnderstanding of software engineering best practices
Nice-to-Have Skills
Experience with cloud ML platformsKnowledge of AI technologiesExperience with architecture decisionsKnowledge of MLOps tools
Tools & Platforms
TensorFlowKerasPyTorchXGBoostLightGBMCatBoostMLflowKubeflowAzure ML PipelinesONNXTensorRTTensorFlow ServingTorchServePySpark
Hard Skills
PythonPandasNumPyscikit-learnTensorFlowKerasPyTorchXGBoostLightGBMCatBoostONNXTensorRTTensorFlow ServingTorchServeMLflowKubeflowAzure ML PipelinesPySparkSQLGitCI/CDCloud-native ML platforms
Soft Skills
CollaborationProblem-solvingTechnical curiosityContinuous learningTeamwork
Keywords for Your Resume
machine learningMLopspythontensorflowkeraspytorchxgboostlightgbmcatboostonnxtensorrtmlflowkubeflowazure ml pipelinesdistributed data processingpysparksqlgitcicdcloud ml platformsmodel deploymentdata engineeringai solutionsscalable systemsmlops
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