Federato is looking to solve the problem of insurers providing affordable coverage to people and organizations facing modern risks like climate change and cyber-attacks by leveraging AI/ML to optimize risk portfolios and improve underwriting decisions.
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) along with 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
Responsibilities
- 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.
Other
- Great communication skills with the ability to convey complex findings to non-technical audiences.
- culture fit is quintessential.
- We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds.
- Most importantly, we're here to have fun.
- We are an equal-opportunity employer and value diversity at our company.
