Machine Learning Engineer

The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.

Duties and Responsibilities

• Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.             
• Build and maintain an industry leading MLOps tech stack.       
• Mentor data scientists within the business, ensuring we’re building best-in-class models.       
• Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.   
• Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.       
• Design, build, and maintain a secure and scalable CI/CD framework for data science teams.             

Scope

• Staff supervision and development:  No
• Decision making:  Recommends policy and resolves problems
• Travel:  Up to 5%
• Flex Designation:  Anywhere