This role pays less than
51%
of similar roles. Most pay
$166,087–$238,250
— the shaded band above.
At the midpoint, this role pays about
$196k
versus about
$202k
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
90 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 89 roles with salary data.
The Senior Staff ML Ops Engineer provides technical leadership for Medical Devices Digital AI initiatives, focusing on the architecture, scalability, and operational excellence of enterprise AI platforms. This role bridges advanced AI innovation with production-grade engineering by defining MLOps strategies, establishing governance, and designing robust infrastructure. You will build a hybrid cloud/on-prem infrastructure covering data ingestion, annotation, feature engineering, training, and monitoring while implementing CI/CD workflows for model deployment. The role requires expertise in GenAI, RAG, and prompt engineering alongside technologies like Docker, Kubernetes, Airflow, Terraform, Databricks, Spark, and SQL or NoSQL databases. You will ensure compliance with HIPAA, GDPR, and Software as a Medical Device guidelines while mentoring engineers. This position addresses the technical challenge of deploying reliable, compliant AI solutions within the regulated medical device domain to improve patient outcomes.
JavaScript
TypeScript
Python
Go
Swift
GenAI
Microservices
SRE
API Design
Distributed Systems
Data Processing
Software Engineering
Automation
Scalability
high-availability