ML Platform Engineer for Scalable Forecasting

Lowe's; Town of Florida (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Lowe's seeks a skilled AI/ML Engineer to help build forecasting models, data pipelines, and production-ready ML systems. You will collaborate with data scientists, product, and business teams to translate requirements into scalable, reliable AI/ML solutions.

Join Lowe's forecasting platform team to design, deploy, and maintain end-to-end ML pipelines, ensure data quality, and optimize performance in cloud and on-prem environments. Strong emphasis on SDLC, DevOps, and governance.

Qualifications

• Bachelor's degree in computer science, computer information systems, or related field.
• 2 years of software development experience.
• 2 years of SDLC/iterative agile development experience.
• 2 years experience with frontend, middleware, database, 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 data pipelines.
• Design, develop, deploy, and maintain end-to-end ML systems including packaging, versioning, deployment, and serving using MLflow, Kubeflow, Vertex AI or similar tools.
• Build and optimize batch and real-time inference pipelines for performance, scalability, and cost efficiency across cloud and on-prem environments.
• Implement CI/CD pipelines and workflow orchestration for AI/ML models and data pipelines following DevOps/MLOps best practices.

Skills

Apache Airflow

Cloud Composer

GCP

BigQuery

Trino/Presto

Great Expectations

Retail forecasting

Time series forecasting

Data quality

ML deployment

Education

Bachelor's degree in computer science or related field

Tools

MLflow

Kubeflow

Vertex AI

Job description

Lowe's seeks a skilled AI/ML Engineer to help build forecasting models, data pipelines, and production-ready ML systems. You will collaborate with data scientists, product, and business teams to translate requirements into scalable, reliable AI/ML solutions.

Join Lowe's forecasting platform team to design, deploy, and maintain end-to-end ML pipelines, ensure data quality, and optimize performance in cloud and on-prem environments. Strong emphasis on SDLC, DevOps, and governance.