Machine Learning Engineer - Generative AI & Unstructured Data
Core
Design, build, and operationalize AI systems that transform enterprise unstructured data into scalable, production-ready services and intelligent applications.
Role type
Machine Learning Engineer (Generative AI & Unstructured Data)
Builds
Scalable ML pipelines, production-ready AI services, APIs, and retrieval systems for internal applications and business teams.
Domain
Enterprise risk, reinsurance, and management consulting
Deliverable
production ML models | product features | infrastructure
Required skills
ML pipeline design, Generative AI workflows (RAG, embedding pipelines, semantic search), MLOps, model deployment and monitoring, API development, containerization, CI/CD automation
Preferred skills
Autonomous component ownership, cross-functional collaboration
Technologies
Cloud platforms, ML tooling, containerization frameworks, CI/CD tools
Responsibilities
Design and build scalable ML pipelines for unstructured data; Develop and maintain production-ready AI services and APIs; Productionize machine learning and Generative AI solutions; Build and integrate Generative AI workflows; Implement monitoring and observability for deployed systems; Collaborate with Data Scientists to transition models to production; Contribute to CI/CD and MLOps practices; Partner with stakeholders to translate business needs into AI solutions; Document systems and processes.
Seniority
Mid-level, self-directed practitioner
