ML Platform & MLOps Engineer — AI Deployment Lead

Harbor Freight Tools; Calabasas (CA); On-site; USD 111,000 - 166,000; Full time

Job summary

Harbor Freight Tools seeks an experienced ML Engineer to lead the development, deployment, and ongoing support of machine learning operations across the business. You will architect and implement tools for model training, monitoring, feature stores, deployments and maintenance.

The role requires collaboration with data science, IT, software engineering, security, and business partners to deliver robust, scalable ML solutions with strong business acumen.

Qualifications

• Experience building and deploying ML models in production.
• Strong understanding of data warehousing and data modeling.

Responsibilities

• Collaborate with data scientists and IT on Enterprise AI platform development.
• Build and maintain an industry-leading MLOps tech stack.
• Mentor data scientists to ensure best-in-class models.
• Improve scalability, performance, and reliability of models.
• Streamline data ingestion, preprocessing, feature engineering, and training workflows.
• Design, build, and maintain a secure, scalable CI/CD framework for data science teams.

Skills

ML Engineering

MLOps

CI/CD for DS

Tools

TensorFlow

PyTorch

MLflow

Spark

Job description

Harbor Freight Tools seeks an experienced ML Engineer to lead the development, deployment, and ongoing support of machine learning operations across the business. You will architect and implement tools for model training, monitoring, feature stores, deployments and maintenance.

The role requires collaboration with data science, IT, software engineering, security, and business partners to deliver robust, scalable ML solutions with strong business acumen.