Senior Decision Intelligence Engineer: Production ML & Optimization

Humana Inc

United States

Hybrid

USD 107,000 - 147,000

Full time

5 days ago
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Benefits offered by this job

Medical benefits
401(k) plan
Paid time off
Life insurance
Disability

Job summary

Humana Inc. seeks a Senior Machine Learning Engineer, Decision Intelligence to own hands-on development of production ML and decisioning pipelines. You will work on feature engineering, scoring workflows, monitoring, and optimization for a scalable NBA Decision Intelligence platform.

The role requires strong Python, RL/optimization experience, and collaboration with cross-functional teams to ensure reliable, auditable systems and responsible decisioning for members.

Qualifications

  • Bachelor's degree in CS or a related field.
  • 5+ years of software engineering or quantitative research for large-scale systems.
  • 2+ years in production ML/decision systems and RL or optimization.
  • Experience with policy gradient / value-based RL and large-scale pipelines.

Responsibilities

  • Build, deploy, and operate ML and decisioning pipelines for the platform.
  • Improve production reliability, monitoring, and optimization of systems.
  • Collaborate with ML, data, platform, and product teams to deliver scalable solutions.
  • Ensure compliance with eligibility, constraints, and audit requirements.

Skills

Python
PyTorch
TensorFlow
Ray RLlib
MLflow
Databricks
PySpark

Education

Bachelor's degree in Computer Science or relevant field

Tools

Gymnasium
SimPy
AnyLogic
PettingZoo

Job description

Humana Inc. seeks a Senior Machine Learning Engineer, Decision Intelligence to own hands-on development of production ML and decisioning pipelines. You will work on feature engineering, scoring workflows, monitoring, and optimization for a scalable NBA Decision Intelligence platform.

The role requires strong Python, RL/optimization experience, and collaboration with cross-functional teams to ensure reliable, auditable systems and responsible decisioning for members.

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