Mediabistro logo
job logo

Humana Inc is hiring: Lead Machine Learning Engineer – Next Best Action (NBA) Pl

Humana Inc, Chicago, IL, United States


* Design and manage end-to-end machine learning systems, including: + Feature engineering and reuse strategies + Offline training pipelines + Online inference and scoring services + Model versioning, rollout, and rollback procedures* Ensure systems meet stringent requirements for latency, scalability, reliability, and correctness in real-time contexts.* Define clear separation between model development, deployment, and downstream decision logic.* 8+ years of experience in machine learning engineering, applied ML, or data-driven platform development* 3+ years in a technical lead or senior ML engineering capacity* Deep expertise in: + Feature engineering and data pipelines + Model training and evaluation + Real-time or near-real-time inference systems* Strong software engineering skills in Python, Java, or similar languages* Practical experience with AI-assisted development tools to streamline ML workflows* Experience with personalization, recommendation, or decisioning platforms* Familiarity with distributed systems and event-driven architectures* Experience deploying models in regulated or high-reliability settings* Knowledge of model explainability and fairness methodologiesTo ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
#J-18808-Ljbffr

In Summary: The self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested . Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense . Humana will provide employees with telephone equipment appropriate to meet business requirements for their position/job .

En Español: * Diseñar y gestionar sistemas de aprendizaje automático de extremo a extremo, incluyendo: + Ingeniería de características y estrategias de reutilización + Pipelines de capacitación fuera de línea + Servicios de inferencia y puntuación en línea + Procedimientos de versión, despliegue y retroceso de modelos* Asegurar que los sistemas cumplen con requisitos estrictos para la latencia, escalabilidad, fiabilidad y corrección en contextos en tiempo real.* Definir una separación clara entre el desarrollo del modelo, su implementación y la lógica de decisión aguas abajo.* 8+ años de experiencia en ingeniería de aprendizajes mecánicas, aplicación o desarrollo de plataformas basadas en datos* 3+ años como líder técnico o ingeniero superior ML* Conocimiento profundo de las siguientes áreas: + Innovación de funciones y tuberías de datos + Entrenamiento y evaluación de modelos + Competencias en tiempo Real o cercan al tiempo real de software proporcionado en Python, Java o idiomas similares* Comprometerse con un mínimo de conocimiento práctico sobre cómo desarrollar sistemas híbridos. Humana proporcionará a los empleados del hogar o de la casa / oficina híbrida con equipos telefónicos apropiados para satisfacer los requisitos empresariales de su posición/trabajo. Trabajar desde un espacio dedicado sin interrupciones continuas para proteger la información de miembros PHI / HIPAA. #J-18808-Ljbffr