Xgboost Jobs (NOW HIRING)

Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)

... XGBoost, LightGBM, PyTorch, TensorFlow • Demonstrated experience building production-grade ML pipelines on at least one major cloud platform (AWS, Azure, Google Cloud Platform) • Deep knowledge ...

Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). * Hands-on experience deploying models in cloud-based environments (AWS, GCP, Azure, and Databricks). * Proven ...

... XGBoost, LightGBM, CatBoost, Databricks, feature stores, and robust backtesting appropriate to production decisioning • Design optimization, recommendation, simulation, or scenario-planning engines ...

Train binary classification models using libraries such as scikit-learn, XGBoost, or TensorFlow on properly assembled training sets. * Perform feature engineering for model input (encoding ...

Train binary classification models using libraries such as scikit-learn, XGBoost, or TensorFlow on properly assembled training sets. * Perform feature engineering for model input (encoding ...

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services. * Familiarity with CNNs, RNN, LSTMs ...

... XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization) • - Strong leadership and capacity to work as a ...

Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM). * Train and Tune Models: Develop and tune machine learning models using Python ...

Python, R, Scala, SQL, PySpark, TensorFlow, PyTorch, Keras, scikit-learn, MLflow, LangChain, XGBoost, LightGBM, CatBoost, and Prophet. * AWS (S3, EC2, Glue, Lambda, SageMaker, Bedrock), Snowflake ...

Train binary classification models using libraries such as scikit-learn, XGBoost, or TensorFlow on properly assembled training sets. * Perform feature engineering for model input (encoding ...

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services. * Familiarity with CNNs, RNN, LSTMs ...

Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.

Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.

Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks * Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and ...

Deep familiarity with gradient boosting frameworks including XGBoost, LightGBM, or CatBoost for tabular data problems. * Ability to communicate model outputs, assumptions, and uncertainty ranges ...

Utilize tools such as Presto, DBViz, DataGrip, and MLP for data access, and modeling frameworks like Pytorch, Gradient boosted trees (ex xgboost, catboost, and lightgbm) and time series forecasting ...

Deep familiarity with gradient boosting frameworks including XGBoost, LightGBM, or CatBoost for tabular data problems. * Ability to communicate model outputs, assumptions, and uncertainty ranges ...

Traditional ML - XGBoost, PCA. * Big Data / Infra - Spark, Hadoop, distributed training systems. * Cloud Platforms - AWS, GCP, or Azure. * Bonus - C++. Who You Are * Experienced ML Researcher ...

Our current systems leverage Lucene-based search and XGBoost ML models, and we are exploring the use of LLMs to further enhance these capabilities. The ideal candidate will improve and reimagine our ...