Lead Machine Learning Engineer - REMOTE
Core
Design, build, and maintain the ML platform infrastructure (model serving, registries, retraining pipelines) to enable data scientists to ship production models reliably at scale.
Role type
Lead MLOps Engineer / ML Platform Architect
Builds
Production ML serving infrastructure, model registries, and automated retraining pipelines for a Fortune 500 homebuilder.
Domain
Real Estate / Homebuilding
Deliverable
production ML models
Required skills
MLOps, AWS SageMaker (Unified Studio), MLflow, Weights & Biases, Python, Infrastructure-as-Code (Terraform), Batch and real-time inference, Model monitoring and drift detection, Mentorship
Preferred skills
Feature stores, Model gateways, GPU workloads, Distributed training, LLM platform support
Technologies
AWS SageMaker, MLflow, Weights & Biases, Terraform, Python
Responsibilities
Design and build ML platform components for model packaging, deployment, and observability; Establish ML platform standards and reusable components; Mentor data scientists on production ML practices; Own model serving infrastructure for batch and real-time inference; Build and maintain model registry and promotion workflows; Operate automated retraining pipelines; Implement monitoring and alerting for production models; Write production-ready Python and IaC code; Partner with data scientists to reduce time-to-production.
Seniority
Senior, hands-on IC with leadership/mentorship responsibilities