Senior Decision Intelligence Engineer – Remote ML & Optimization

Humana; Lansing (MI); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Humana Inc. is seeking a Senior Machine Learning Engineer, Decision Intelligence to build, deploy, and operate ML and decisioning pipelines for the NBA Decision Intelligence Platform.

This role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. You will collaborate with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable

Qualifications

• 5+ years of software engineering or quantitative research for production systems.
• 2+ years building large-scale production systems serving millions of users.
• 2+ years implementing reinforcement learning or simulation-driven decision systems.
• Deep familiarity with Markov Decision Processes and RL concepts.
• Proficiency in Python 3.x; PyTorch or TensorFlow experience.
• Experience with Ray RLlib for distributed training.
• Experience with Databricks, PySpark and Delta Lake.
• Experience with MLflow for experiment tracking and model registry.
• Experience shipping production-grade systems.

Skills

Python programming

Machine learning concepts

Production systems

MLOps

RL concepts

Problem solving

Communication

Debugging production issues

Education

Bachelor's degree in Computer Science or related field

Tools

Python

PyTorch

TensorFlow

Ray RLlib

Databricks

PySpark

Delta Lake

MLflow

Job description

Humana Inc. is seeking a Senior Machine Learning Engineer, Decision Intelligence to build, deploy, and operate ML and decisioning pipelines for the NBA Decision Intelligence Platform.

This role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. You will collaborate with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable