Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.
November 20, 2024
πΊπΈ United States β Remote
π΅ $180k - $220k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π¦ H1B Visa Sponsor
Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.
β’ Federato is on a mission to defend the right to insurance for all. β’ Federatoβs AI/ML-driven platform optimizes risk portfolios for insurers, enabling equitable coverage. β’ The SmartOps solution drives better underwriting decisions through real-time insights.
β’ Proven experience as a Machine Learning Engineer or similar role (at least 5 years). β’ Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP and LLMs. β’ Experience in building scalable ML pipelines using tools such as Kubeflow. β’ Hands-on experience with cloud platforms, managing cloud resources, and using relevant APIs. β’ Great communication skills to convey complex findings to non-technical audiences.
β’ Total compensation package includes stock options, benefits and additional perks.
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