below marketmost similar roles pay hereabove market
This role pays less than
99%
of similar roles. Most pay
$151,000–$194,500
— the blue band above.
At the midpoint, this role pays about
$92k
versus about
$173k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has
193 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 123 roles with salary data.
The AI Platform Engineer joins the Abbott Cancer Diagnostics team to build and operate the machine learning and generative AI platform. This role involves owning the full model lifecycle in production, including data and feature pipelines, training, evaluation, serving, and monitoring. You will build production model-serving infrastructure for LLMs and predictive models, manage GPU infrastructure for scheduling and resource isolation, and automate end-to-end lifecycles through CI/CD and GitOps. Key technologies include Python, Kubernetes, and AWS, with preferred experience in tools like Kubeflow, MLflow, and TensorRT. You will solve technical challenges regarding inference optimization, drift detection, and lineage tracking within a regulated environment. The work ensures that software reaching patients is supported by a repeatable, auditable, and high-performance platform with self-service APIs and SDKs.
Python
Azure ML SDK
Databricks
MLflow
Kubeflow
Docker
Kubernetes
CI/CD
Infrastructure as Code
Data Lake
Feature Store
LLM
Model Monitoring
ETL
Time-series Data
IoT
Mobile
AWS
Kubernetes
Docker
Terraform
Python
CloudFormation
CI/CD
MLOps
Amazon Bedrock
SageMaker
Platform One
RMF
DevSecOps
Infrastructure as Code
Iron Bank
Big Bang