Staff ML Engineer: Forecasting, Optimization & Production

Becton Dickinson; Irvine (CA); On-site; USD 161,000 - 258,000; Full time

Job summary

BD is seeking a Staff Machine Learning Engineer to lead end‑to‑end ML lifecycle across the Connected Care portfolio. You will own model development, experimentation, and production deployment on AWS, with a focus on forecasting, optimization and anomaly detection.

You will collaborate with product and clinical teams, implement scalable pipelines, and drive best practices for explainability, monitoring, and governance in a regulated healthcare context.

Qualifications

• Bachelor’s degree in a relevant field and 7+ years of hands-on ML/AI and software engineering with production ownership.

Responsibilities

• Own the design, training, and validation of forecast, optimization, and anomaly-detection models.
• Build and productionize probabilistic, multi-series models with prediction intervals.

Skills

Python

ML/AI in production

Time-series forecasting

AWS

Docker & Kubernetes

PyTorch

Model deployment

Experimentation & evaluation

Team leadership

Agile/Scrum

Education

Bachelor's in ML/Stats/OR/Applied Math/CS

Master's or PhD preferred

Tools

Prophet

GluonTS

Nixtla

MLflow

Weights & Biases

LangChain

Pinecone

Triton

TorchServe

Job description

BD is seeking a Staff Machine Learning Engineer to lead end‑to‑end ML lifecycle across the Connected Care portfolio. You will own model development, experimentation, and production deployment on AWS, with a focus on forecasting, optimization and anomaly detection.

You will collaborate with product and clinical teams, implement scalable pipelines, and drive best practices for explainability, monitoring, and governance in a regulated healthcare context.