Senior Machine Learning Engineer

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September 20

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Federato

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Artificial Intelligence • Insurance

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.

11 - 50 employees

🤖 Artificial Intelligence

💰 $15M Series A on 2022-09

📋 Description

• Design and implement scalable machine learning pipelines, serving prompt engineering workflows to enhance scalability and efficiency in submission intake processes across multiple insurance use cases. • Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge. • Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability. • Build reusable, modular infrastructure components and CI/CD pipelines for ML and LLM workloads, enabling rapid experimentation and seamless transition from research to production. • Champion best practices in observability, testing, and monitoring of ML systems, establishing standards for model/data drift detection, logging, and automated rollback strategies.

🎯 Requirements

• Proven experience as a Machine Learning Engineer or similar role (at least 5 years), with a strong focus on pipelining LLM models over the last 2 years. • Proven experience in designing scalable and robust machine learning pipelines, both for classical machine learning and large language models (LLMs); familiarity with open-source models is a plus. • Experience in building scalable ML pipelines using tools such as Kubeflow. • Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production. • Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing. • Great communication skills with the ability to convey complex findings to non-technical audiences. • Experience mentoring and providing technical leadership to junior team members.

🏖️ Benefits

• Stock options • Benefits and additional perks (unspecified) • Remote work (US and Canada) • Reasonable accommodation for individuals with disabilities