Lead ML/AI Engineer

📋 Description

• Own the decisioning and feedback layer connecting model scores to actions, including action
• Lead the engineering implementation, auditability, and reproducibility of production savings
• Design event-driven, real-time integrations between model outputs and operational systems
• Define and maintain integration contracts with partner teams to ensure reliable data exchange and
• Establish cost-to-serve standards by defining compute, streaming, inference, and LLM spending
• Set production standards for ML models, including CI/CD, model registries, alerting, drift

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional
• At least 8 years of experience in ML engineering, MLOps, or software engineering, including 4+
• At least 2 years of experience serving as the technical lead or architect of a production ML or
• Demonstrated experience building or operating prescriptive production systems, such as
• Production experience with AWS data and machine learning services, as well as
• Production experience with Databricks, PySpark, Delta Lake, MLflow, or equivalent technologies.

🎁 Benefits

• Remote-first work environment, with the option of a hybrid arrangement in Nashville.
• Generous paid time off (PTO) and holiday plans.
• Paid parental leave and support for work-life balance, flexibility, and autonomy.
• Medical, dental, and vision insurance starting on Day 1.
• Life and disability insurance.
• Wellness resources and an employer HSA contribution.