Senior Decision Intelligence Engineer — Remote/Hybrid

Humana Inc

Raleigh (NC)

Remote

USD 107,000 - 147,000

Full time

5 days ago
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Benefits offered by this job

Bonus incentive plan

Job summary

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

You will focus on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. Collaboration with ML/data/platform engineers, product owners and decision engine teams is essential for reliable, auditable systems.

Qualifications

  • Bachelors in computer science or relevant field.
  • 5+ years building and operating large-scale production systems with data-intensive platforms.
  • 2+ years implementing RL or optimization in production.
  • Proficiency in Python 3.x; PyTorch or TensorFlow for policy networks.
  • Experience with Ray RLlib or equivalent distributed frameworks.

Responsibilities

  • Build, deploy, and operate ML and decisioning pipelines for production.
  • Focus on production pipeline development, MLOps, and monitoring.
  • Collaborate with cross-functional teams to deliver scalable systems.

Skills

Python
Reinforcement learning
ML frameworks (PyTorch/TensorFlow)
MLOps
Distributed training (Ray RLlib)
Data engineering basics
Experiment tracking
Model deployment & monitoring

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks
PySpark
Delta Lake
MLflow

Job description

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

You will focus on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. Collaboration with ML/data/platform engineers, product owners and decision engine teams is essential for reliable, auditable systems.

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