Production ML Engineer: MLOps & AI Platform

Weyerhaeuser; Seattle (WA); On-site; USD 99,000 - 148,000; Full time

Job summary

Weyerhaeuser, headquartered in Seattle, is seeking a Machine Learning Engineer to operationalize AI across the company''s portfolio. You will build, deploy, monitor, and scale ML solutions that drive measurable business value in production.

You will collaborate with data scientists, AI engineers, product managers, and platform teams to implement robust MLOps patterns, governance, and scalable services in cloud environments. The role emphasizes reliability, security, and cost efficiency.

Qualifications

• Bachelor's degree in a related field or equivalent practical experience.
• 2-4 years of experience developing or supporting ML systems in an enterprise environment.
• Experience with ML deployment pipelines, model monitoring, or governance patterns.

Responsibilities

• Operationalize ML models with MLOps pipelines for training, validation, deployment, and retraining.
• Deploy batch and real-time inference workloads on cloud-native services and containerized architectures.
• Implement monitoring for model performance, data drift, latency, and system health.
• Develop CI/CD workflows for code, features, models, and configurations.
• Collaborate with data engineers for reliable data ingestion and feature versioning.
• Support enterprise AI governance by model lineage, reproducibility, and auditability.

Skills

Python

SQL

APIs

MLOps

Cloud

Education

Bachelor's degree in CS/Engineering/IS or related

Tools

MLflow

SageMaker

Kubeflow

Airflow

Job description

Weyerhaeuser, headquartered in Seattle, is seeking a Machine Learning Engineer to operationalize AI across the company''s portfolio. You will build, deploy, monitor, and scale ML solutions that drive measurable business value in production.

You will collaborate with data scientists, AI engineers, product managers, and platform teams to implement robust MLOps patterns, governance, and scalable services in cloud environments. The role emphasizes reliability, security, and cost efficiency.