51 to 54 of 54 XGBoost Jobs

with data preprocessing, feature engineering, and evaluation at scale Familiarity with LLMs or modern foundation models Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers) Comfortable working across APIs, data stores, and infrastructure, not just notebooks Bias to ship, measure, and refine rather than chase perfect ...

with data preprocessing, feature engineering, and evaluation at scale Familiarity with LLMs or modern foundation models Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers) Comfortable working across APIs, data stores, and infrastructure, not just notebooks Bias to ship, measure, and refine rather than chase perfect ...

with data preprocessing, feature engineering, and evaluation at scale Familiarity with LLMs or modern foundation models Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers) Comfortable working across APIs, data stores, and infrastructure, not just notebooks Bias to ship, measure, and refine rather than chase perfect ...

members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure … solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ...