Senior Decision Intelligence Engineer (Production ML)

Humana Inc; Richmond (VA); Remote; USD 107,000 - 147,000; Full time

Benefits offered by this job

Bonus incentive plan

Job summary

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

You will deliver scalable, auditable systems and collaborate across engineering, product, and decision engine teams to ensure correct actions and compliance with clinical rules. The role emphasizes MLOps, feature engineering, monitoring, and reinforcement-learning-based decisioning, with travel limited and a remote/hybrid work

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. Relevant backgrounds include policy gradient and value-based RL (PPO, A3C, DQN, CQL), stochastic dynamic programming, discrete-event simulation, or large-scale combinatorial or constrained optimization.
• 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.
• 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.

Responsibilities

• Build, deploy, and operate ML and decisioning pipelines for the NBA Decision Intelligence Platform.
• Focus on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning.
• Collaborate with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, auditable production systems.

Job description

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

You will deliver scalable, auditable systems and collaborate across engineering, product, and decision engine teams to ensure correct actions and compliance with clinical rules. The role emphasizes MLOps, feature engineering, monitoring, and reinforcement-learning-based decisioning, with travel limited and a remote/hybrid work