
10,000+ employees
đ Real Estate
đ± Media
Real Estate âą Media
Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors â including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.
đ„ 0 minutes ago
đŁïžđ§đ·đ”đč Portuguese Required
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10,000+ employees
đ Real Estate
đ± Media
Real Estate âą Media
Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors â including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.
âą Design, develop, and implement computer vision and machine learning solutions, working with classification, segmentation, and object detection âą Develop predictive models and machine learning algorithms to solve complex business problems âą Lead projects from data exploration through validation and interpretation of results, with a focus on measurable impact âą Use Python, Scikit-learn, XGBoost, LightGBM, Jupyter, Databricks, MLflow, Statsmodels, and SciPy âą Apply supervised, unsupervised, and deep learning techniques âą Integrate applications with language model APIs (LLMs)
âą Experience building computer vision solutions âą Experience with AWS SageMaker for deploying and managing machine learning models âą Experience applying machine learning to business problems âą Experience integrating applications with language model APIs (LLMs) âą Proficiency in Python for machine learning development âą Preferred experience with Scikit-learn, XGBoost, and LightGBM âą Experience with Jupyter Notebook or Databricks âą Knowledge of MLflow for experiment tracking and model management âą Experience developing predictive models âą Knowledge of supervised, unsupervised, and deep learning techniques
âą Position also open to candidates with disabilities (PwD)
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