Machine Learning Engineer
Core
Build and maintain scalable data pipelines, backend services, and ML inference workflows to support underwriting and analytics systems.
Role type
Machine Learning Engineer (Backend & MLOps)
Builds
Scalable data pipelines, backend microservices, and production ML workflows for underwriting and analytics.
Domain
Insurance / Data Engineering / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL/NoSQL, PyTorch, TensorFlow, FastAPI, Flask, AWS/Azure, Docker, Kubernetes, CI/CD, distributed systems
Preferred skills
None stated
Technologies
PostgreSQL, MongoDB, PyTorch, TensorFlow, FastAPI, Flask, AWS, Azure, Docker, Kubernetes, GitHub Actions, TeamCity
Responsibilities
Develop and deploy backend services and microservices for data ingestion and ML inference; Monitor and maintain ML pipelines in production; Conduct root-cause analysis of data and model issues; Support production releases and large-scale batch processing for underwriting workflows.
Seniority
Mid-level, hands-on IC