Lead ML Engineer: Predictive Demand & Production AI

Leon Capital Group; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Leon Capital Group’s AMP division seeks the machine learning anchor to own the intelligence layer and drive real-world impact across clinics. You will select models, shape data, and ship production systems with a platform engineer in early months.

You will own the full lifecycle from feature engineering to retraining, while navigating PHI, HIPAA constraints, and human-in-the-loop workflows with licensed providers guiding outcomes.

Qualifications

• 5+ years in applied machine learning with end-to-end ownership of models.
• Strong Python and ML stack experience with production deployment.
• Deep knowledge of time-series forecasting and demand planning.
• Proficient SQL and cloud data warehouse work (Azure SQL, dbt).
• Experience building agentic, tool-using LLM systems and monitoring.

Responsibilities

• Own the predictive-model stack and utilization-focused outcomes.
• Forecast provider demand across clinics and align staffing.
• Design and ship agentic systems that act on live tools.
• Extend models to patient acquisition, conversion, and retention.
• Manage full model lifecycle: feature engineering, training, monitoring.

Skills

Python

Pandas

scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

Time-series forecasting

Production ML

Tools

dbt

MLflow

Airflow

Dagster

LangGraph

Job description

Leon Capital Group’s AMP division seeks the machine learning anchor to own the intelligence layer and drive real-world impact across clinics. You will select models, shape data, and ship production systems with a platform engineer in early months.

You will own the full lifecycle from feature engineering to retraining, while navigating PHI, HIPAA constraints, and human-in-the-loop workflows with licensed providers guiding outcomes.