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Machine Learning Engineer II
Diamond Bar, California, United States
$100k-$146k/yr OnsiteFull Time
5+ YOEBachelor's in a quantitative field required (Master/PhD preferred); strong Python and ML framework experience (PyTorch/TensorFlow); production MLOps, cloud, and industrial data experience; preferred 5+ years in ML/industrial AI.
Azure Machine Learning Studio, Azure Machine Learning, XGBoost, Random Forests, LSTMs, Autoencoders, Isolation Forests, One-Class SVMs, Dynamic Time Warping, PCA, MLflow, Kubeflow, Docker, Kubernetes, PySpark, Databricks, Python, C++, C#, JavaScript, R, PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, SQL, NoSQL, InfluxDB, TimescaleDB, Google Cloud Platform, AWS, GCP, LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, CrewAI, Azure AI Foundry, OpenAI API, Hive, Pig, MATLAB, Weka, Matplotlib