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Top Machine Learning Engineer Jobs in Los Angeles, CA
Fintech
The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.
Top Skills:
PythonSQL
Fintech • Software • Financial Services
The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.
Top Skills:
PythonSQL
Artificial Intelligence • Marketing Tech • Mobile • Software
The role involves building and maintaining an ML platform for training and deploying ML models, enhancing their performance and reliability.
Top Skills:
AIData EngineeringMachine LearningMl PlatformsMlopsSoftware Engineering
Edtech • Fintech • Healthtech • Information Technology • Software • Consulting
Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.
Top Skills:
AirflowLuigiMySQLNumpyPandasPostgresPrefectPythonScipySQL
Artificial Intelligence • Healthtech
The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.
Top Skills:
Data ProcessingMachine LearningNatural Language Processing
AdTech • Marketing Tech
Lead the creation and optimization of machine learning algorithms for mobile advertising, focusing on data-driven strategies to enhance user acquisition and ROI.
Top Skills:
Data PipelinesData ScienceMachine LearningMobile AdvertisingOptimizationProgrammatic AdvertisingPythonSQLStatistics
Information Technology • Other
As a Senior Machine Learning Engineer, you will design and implement ML systems across various sectors, lead technical discussions, and collaborate with data scientists to drive innovative solutions.
Top Skills:
AzureDatabricksDockerKubernetesPythonPyTorchSparkSQLTensorFlow
Fintech
This role involves building and deploying machine learning models for Risk and Fraud, leading technical efforts, and collaborating with operations teams.
Top Skills:
PythonSQL
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