Remote Senior Decision Intelligence Engineer

Humana; Boston (MA); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Humana seeks a Senior Machine Learning Engineer, Decision Intelligence, to build, deploy, and operate ML and decisioning pipelines for the NBA Decision Intelligence Platform. This hands-on role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimized decisioning.

You will collaborate with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable production

Qualifications

• Bachelor’s degree in computer science or a relevant field.
• 5+ years building and operating large-scale production systems with data-intensive platforms and millions of users.
• 2+ years building/operating data-heavy production systems with millions of users.
• 2+ years implementing reinforcement learning or simulation-driven decision systems in production.
• Strong knowledge of Markov Decision Processes and RL concepts.
• Proficiency in Python 3.x; experience with PyTorch or TensorFlow.
• Experience with Ray RLlib or equivalent distributed frameworks.
• Experience with ML pipelines and data platforms (Databricks, PySpark, Delta Lake).
• Experience with MLflow for experiment tracking and model registry.

Responsibilities

• Build, deploy, and operate machine learning and decisioning pipelines for production.
• Develop production ML pipelines, MLOps practices, and scoring workflows.
• Monitor, optimize, and ensure auditable production systems.
• Collaborate with ML engineers, data engineers, platform engineers, and product teams to deliver reliable systems.

Skills

Python

PyTorch

TensorFlow

Ray RLlib

Databricks

PySpark

Delta Lake

MLflow

Education

Bachelor’s degree in Computer Science or relevant field

Tools

Databricks

PySpark

Delta Lake

MLflow

Job description

Humana seeks a Senior Machine Learning Engineer, Decision Intelligence, to build, deploy, and operate ML and decisioning pipelines for the NBA Decision Intelligence Platform. This hands-on role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimized decisioning.

You will collaborate with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable production