helloheart · Tel Aviv, Israel
Skills: Python, AWS, CI/CD
About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the 1 cause of death—heart disease—is managed in the AI era. Join us. About the Role: Hello Heart is seeking a Senior Machine Learning Engineer with strong MLOps abilities to own the production ML systems behind user engagement, cardiovascular risk stratification, and personalized health recommendations in the Hello Heart app. You'll build and run the CI/CD, real-time serving, versioning, and monitoring infrastructure that models depend on, working closely with data scientists who own the modeling to make sure what they build runs reliably at scale. You should have a proven track record of shipping ML systems to production and be comfortable using AI coding assistants as a core part of your workflow. Responsibilities: Build and own production ML infrastructure, including CI/CD pipelines, real-time model serving, model versioning and registries, automated evaluation pipelines, monitoring, and observability. Serve models in real time at scale, with a strong focus on low-latency inference, reliability, and graceful degradation under l …truncated… geMaker, Vertex AI, JFrog ML). Strong Python skills, with production-grade, maintainable, well-tested code. Hands-on experience building CI/CD pipelines for ML: automated testing, training, validation, and deployment of models (e.g., Cloud Build, Cloud Deploy, Jenkins, GitHub Actions). Experience serving models…
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