Lead Machine Learning Engineer - REMOTE
Core
Design, build, and set the ML platform surface used by the data science team, covering model packaging, deployment, batch and real-time inference, and observability.
Role type
Lead Machine Learning Engineer (MLOps)
Builds
Production ML infrastructure, model serving systems, and retraining pipelines for a homebuilding company.
Domain
Real Estate / Homebuilding
Deliverable
infrastructure
Required skills
MLOps expertise, software engineering, model serving design, model registry management, pipeline orchestration, AWS SageMaker, MLflow, Weights & Biases
Preferred skills
None stated
Technologies
AWS SageMaker, SageMaker Unified Studio, MLflow, Weights & Biases
Responsibilities
Design and build ML platform surface for model packaging and deployment; Establish ML platform standards and reusable components; Mentor data scientists and engineers on production ML practices; Own model serving infrastructure on AWS SageMaker; Build and maintain model registry and version control workflows; Stand up and operate retraining pipelines using MLflow and Weights & Biases
Seniority
Lead, hands-on IC with mentorship