Machine Learning Engineer

A well-established enterprise information and analytics organization is adding a Senior Machine Learning Engineer to its Providence team. Working on a hybrid schedule, this person will lead technical efforts that turn emerging AI concepts into durable, large-scale product capabilities., Develop and release AI features that improve how professionals discover, evaluate, and use complex information

Create scalable services and shared infrastructure for distributed machine learning applications

Implement retrieval pipelines, agent orchestration, and supporting components for generative AI products

Coordinate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements

Extensive experience designing and delivering applied machine learning solutions

Proven ability to build systems powered by large language models and AI agents

Strong understanding of retrieval-augmented generation, embeddings, and vector-based search

Experience supporting model delivery through MLOps tooling and production practices

Advanced Python programming ability

Experience deploying cloud-native services with AWS and Kubernetes

Desired Skills & Experience

Prior work in legal technology, knowledge management, publishing, or another information-rich industry

12 or more years of software development experience, or at least 8 years plus a doctorate

Degree in computer science, machine learning, engineering, or a comparable technical field