Applied Machine Learning Engineer

Build production machine learning models at Foresight, using Python and backend engineering to predict risks across complex construction projects. This is a hands-on role on a new team.As an Applied AI Engineer, you will architect, train, deploy, and monitor models powering risk predictions and AI recommendations. You will work with multimodal, high-stakes data while owning backend features from training through deployment. The work includes production machine learning, VLM and LLM features, agentic workflows, RAG systems, and high-volume data pipelines.Key Responsibilities:
Own features from technical design through release and ongoing improvementArchitect, train, deploy, and monitor risk prediction modelsPartner with Full Stack engineers on production AI featuresTune accuracy, latency, and reliability across the modeling stackImprove architecture, testing, observability, and shipping practicesRequirements:
3+ years building and shipping production machine learning models1+ years shipping VLM or LLM features to productionStrong Python backend experience with FastAPI, Django, or similarPostgres data modeling, migrations, indexes, and query plansAWS experience with storage, queues, containers, or serverlessApply production ML, Python backend, and multimodal modeling expertise to Foresight’s construction intelligence platform.
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