Senior Data Engineer, MLOps [Remote-US]
Core
Designing and operating an MLOps platform to automate the machine learning lifecycle from data collection to model monitoring for risk-prediction products.
Role type
Senior IC MLOps Data Engineer
Builds
Robust MLOps platform, shared feature store, real-time inference services, and CI/CD pipelines for ML models.
Domain
Insurance / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Docker, Terraform, AWS SageMaker, Snowflake, Kafka, AWS Step Functions, CI/CD for ML, IaC, distributed systems design
Preferred skills
Snowpark, large-scale distributed systems, complex APIs, regulated environment experience
Technologies
AWS SageMaker, MLflow, Snowflake, Kafka, EKS, Terraform, Bash, Bazel
Responsibilities
Operationalize data science solutions for risk-prediction products; Design and build ML pipelines; Stand-up and operate a shared feature store; Own real-time inference services; Implement testing strategies within CI/CD pipelines; Enable ML Governance; Implement event-driven orchestration for automated retraining; Monitor production models for performance and drift.
Seniority
Senior, hands-on IC
