Remote Senior Decision Intelligence Engineer

Humana Inc; Columbia (SC); Remote; USD 107,000 - 147,000; Full time

Benefits offered by this job

Bonus incentive plan

Job summary

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

You will work hands-on on production workflows, scoring, monitoring, and optimization-aware decisioning to ensure actions align with clinical rules, channel constraints, and program goals. You will collaborate with ML engineers, data engineers, platform engineers, product owners and decision engine teams to deliver scalable, auditable

Qualifications

• Bachelors in computer science or relevant field
• 5+ years (post undergraduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
• 2+ years (post graduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
• 2+ years of hands-on experience implementing reinforcement learning, operations research methods, or simulation-driven decision systems in production.
• Deep familiarity with Markov Decision Processes, Bellman-equation-based value estimation, reward or objective shaping, exploration-exploitation tradeoffs, and constraint formulation in real-world decision systems.
• Demonstrated ability to diagnose failure modes in learned or optimized policies: instability, poor credit assignment across long horizons, and distributional shift across large populations.
• Proficiency in Python 3.x; experience with PyTorch or TensorFlow for policy network or learned model implementation.
• Experience with Ray RLlib or equivalent distributed computation frameworks for large-scale training or optimization.
• Experience with Databricks, PySpark, and Delta Lake for large-scale ML or data pipelines processing tens of millions of records.
• Experience with MLflow for experiment tracking, model registry, and artifact management.
• Experience with shipping systems that operate reliably under production load, not just research or prototype work.

Skills

Python

PyTorch

TensorFlow

Ray RLlib

Databricks

PySpark

Delta Lake

MLflow

Production systems

Reinforcement learning

Education

Bachelors in CS

Tools

Databricks

PySpark

Delta Lake

MLflow

Gymnasium

SimPy

AnyLogic

PettingZoo

OpenTelemetry

Job description

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

You will work hands-on on production workflows, scoring, monitoring, and optimization-aware decisioning to ensure actions align with clinical rules, channel constraints, and program goals. You will collaborate with ML engineers, data engineers, platform engineers, product owners and decision engine teams to deliver scalable, auditable