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Senior Back-End/MLOps Engineer - Real-Estate (DR)

🏢 Truelogic · Santo Domingo · Remoto · publicado 23/09/2026

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. OUR CLIENT A fast-growing technology company in the real estate and housing industry, focused on using technology and data to simplify the process of finding and renting a home. The company operates a digital platform that connects renters with available properties, leveraging data-driven solutions and user-friendly technology to create a more efficient and transparent housing search experience. JOB SUMMARY We are looking for a Senior Back-End Engineer/MLOps to join a Marketplace team working at the intersection of full-stack product engineering and machine learning operations. In this role, you’ll help build and maintain the backend systems that power search, ranking, and matching experiences, while also supporting ML pipelines, model deployment, feature stores, and real-time data infrastructure. You’ll collaborate closely with data scientists, product partners, and engineers to bring machine learning capabilities into production reliably and at scale. This is a blended role for an engineer who enjoys solving complex backend and infrastructure challenges while contrib
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