
10,000+ employees
🏠 Real Estate
📱 Media
Real Estate • 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 — 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.
🔥 1 minute ago
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
🏠 Real Estate
📱 Media
Real Estate • 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 — 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.
• Develop and advance Machine Learning, Generative AI, and Computer Vision solutions. • Implement RAG architectures, ingestion pipelines, and semantic search over vector databases. • Build APIs and applications using LangChain, LangGraph, OpenAI, and AWS Bedrock. • Evaluate GenAI solution performance using quality, latency, and cost metrics. • Develop, train, and deploy image classification, detection, and segmentation models. • Work on building and maintaining data pipelines and applications in AWS and Azure environments. • Participate in technical decisions, refinements, and agile ceremonies, ensuring solution quality and scalability.
• Strong experience with Python, SQL, and machine learning model development. • Knowledge of Generative AI, LLMs, RAG, embeddings, and vector databases. • Experience with Pandas, Scikit-learn, TensorFlow, PyTorch, and OpenCV. • Experience with LangChain, LangGraph, OpenAI, AWS Bedrock, and OpenSearch. • Knowledge of AWS services such as S3, Lambda, RDS, and SageMaker. • Experience with APIs, microservices, containers, and cloud environments. • Familiarity with agile methodologies and software engineering best practices.
• Position also open to candidates with disabilities
Apply Now🔥 4 hours ago
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