ML Platform Engineer: Build Scalable AI Pipelines

Lowe's Companies, Inc.; Charlotte (NC); On-site; USD 75,000 - 143,000; Full time

Benefits offered by this job

401k match

Employee Stock Purchase Plan

Tuition-Free Education

Maternity/Parental Leave

Associate Discount

Job summary

Lowe’s Leipzig data/AI platform is seeking an experienced ML Engineer to build scalable data pipelines for model training, inference, and analytics. You will collaborate with scientists, product, and business teams to translate requirements into production-ready pipelines and deploy end-to-end ML systems.

You will design batch/real-time inference, implement CI/CD for ML workloads, and ensure security, governance, and reliability across cloud and on-prem environments.

Qualifications

• Bachelor’s degree in computer science, computer information systems, or related field or equivalent years of experience in lieu of education requirement.
• 2 years of experience in software development or a related field.
• 2 years of experience working on projects involving SDLC through iterative agile development.
• 2 years experience working with frontend tech, middleware, databases, or DevOps.

Responsibilities

• Build and maintain scalable data ingestion, transformation, feature engineering, and post-processing pipelines for model training, inference, analytics, and reporting.
• Collaborate with Data Scientists, Product, and Business teams to translate requirements into scalable AI/ML solutions and data pipelines.
• Design, develop, deploy, and maintain end-to-end ML systems including model packaging, registration, versioning, deployment, and serving.
• Build and optimize batch and real-time inference pipelines for performance, scalability, reliability, and cost efficiency across cloud and on-prem environments.
• Implement and maintain CI/CD pipelines and workflow orchestration for AI/ML models and data pipelines using DevOps and MLOps best practices.
• Design monitoring frameworks to track model performance, data quality, drift, and production health.
• Build reusable libraries and platform components to improve productivity and standardize ML development.
• Develop production-quality software components following software engineering best practices.
• Perform root cause analysis, troubleshoot production issues, and participate in code reviews to improve quality.
• Ensure AI/ML solutions comply with security, governance, privacy, and standards throughout the lifecycle.
• Champion engineering best practices to improve reliability, scalability, maintainability, and operational efficiency.

Skills

Apache Airflow

Cloud Composer

GCP

BigQuery

Trino/Presto

Great Expectations

Retail forecasting

Time series forecasting

Python

SQL

PySpark

Education

Bachelor’s degree in computer science or related field

Tools

MLflow

Kubeflow

Vertex AI

Job description

Lowe’s Leipzig data/AI platform is seeking an experienced ML Engineer to build scalable data pipelines for model training, inference, and analytics. You will collaborate with scientists, product, and business teams to translate requirements into production-ready pipelines and deploy end-to-end ML systems.

You will design batch/real-time inference, implement CI/CD for ML workloads, and ensure security, governance, and reliability across cloud and on-prem environments.