Overview
Remote
Full Time
Skills
Machine Learning Operations (ML Ops)
Data Science
Health Insurance
ADSI
Health Care
English
Spanish
Military
Banking
Vertex
Artificial Intelligence
Continuous Integration
Continuous Delivery
Workflow
Machine Learning (ML)
Docker
Kubernetes
Scalability
Dashboard
Data Modeling
Data Flow
TensorFlow
PyTorch
scikit-learn
Cloud Computing
Python
Git
Version Control
Leadership
Management
Job Details
Details
Paid time off (PTO)
Various health insurance options & wellness plans
Retirement benefits including employer match plans
Long-term & short-term disability
Employee assistance programs (EAP)
Parental leave & adoption assistance
Tuition reimbursement
Ways to give back to your community
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance and salary range at the time of the offer.
Responsibilities
What you will do:
Additional preferences:
Education:
No additional preferences.
#LI-remote #internalops #ADSI
Why Join Our Team
Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.
Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.
Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.
Equal Employment Opportunity Employer
Ascension will provide equal employment opportunities (EEO) to all associates and applicants for employment regardless of race, color, religion, national origin, citizenship, gender, sexual orientation, gender identification or expression, age, disability, marital status, amnesty, genetic information, carrier status or any other legally protected status or status as a covered veteran in accordance with applicable federal, state and local laws.
For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.
Pay Non-Discrimination Notice
Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.
E-Verify Statement
This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.
E-Verify
Responsibilities
What you will do:
Additional preferences:
Qualifications
Education:
- Department: Ascension Data Science Institute
- Schedule: Full time, 8 hour day shift, Monday - Friday
- Location: Remote
Paid time off (PTO)
Various health insurance options & wellness plans
Retirement benefits including employer match plans
Long-term & short-term disability
Employee assistance programs (EAP)
Parental leave & adoption assistance
Tuition reimbursement
Ways to give back to your community
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance and salary range at the time of the offer.
Responsibilities
What you will do:
- Build and manage pipelines using Vertex AI and Kubeflow Pipelines for seamless experimentation, versioning, and deployment.
- Handle version control, model registries, and CI/CD workflows; ensure reproducibility and traceability of ML experiments.
- Package ML workloads in Docker containers and deploy on Cloud Run, GKE (Google Kubernetes Engine), ensuring scalability and performance.
- Use Cloud Monitoring, Cloud Logging, Looker dashboards or similar to detect data/model drift, monitor cost, and optimize resource utilization.
Additional preferences:
- Familiarity with BigQuery, Dataflow, or Pub/Sub for large-scale data ingestion and preprocessing
- Experience with TensorFlow, PyTorch, or Scikit-learn, integrating them into production pipelines
- Working knowledge of Cloud Functions, Cloud Build, GitOps principles, or other deployment automation tools
- Strong background in Python with Git-based version control, emphasizing best practices and code quality
Education:
- High School diploma equivalency with 2 years of cumulative experience OR Associate'
degree/Bachelor's degree with 1 year of experience OR 5 years of applicable cumulative job specific
experience required. 2 years of leadership or management experience preferred.
No additional preferences.
#LI-remote #internalops #ADSI
Why Join Our Team
Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.
Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.
Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.
Equal Employment Opportunity Employer
Ascension will provide equal employment opportunities (EEO) to all associates and applicants for employment regardless of race, color, religion, national origin, citizenship, gender, sexual orientation, gender identification or expression, age, disability, marital status, amnesty, genetic information, carrier status or any other legally protected status or status as a covered veteran in accordance with applicable federal, state and local laws.
For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.
Pay Non-Discrimination Notice
Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.
E-Verify Statement
This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.
E-Verify
Responsibilities
What you will do:
- Build and manage pipelines using Vertex AI and Kubeflow Pipelines for seamless experimentation, versioning, and deployment.
- Handle version control, model registries, and CI/CD workflows; ensure reproducibility and traceability of ML experiments.
- Package ML workloads in Docker containers and deploy on Cloud Run, GKE (Google Kubernetes Engine), ensuring scalability and performance.
- Use Cloud Monitoring, Cloud Logging, Looker dashboards or similar to detect data/model drift, monitor cost, and optimize resource utilization.
Additional preferences:
- Familiarity with BigQuery, Dataflow, or Pub/Sub for large-scale data ingestion and preprocessing
- Experience with TensorFlow, PyTorch, or Scikit-learn, integrating them into production pipelines
- Working knowledge of Cloud Functions, Cloud Build, GitOps principles, or other deployment automation tools
- Strong background in Python with Git-based version control, emphasizing best practices and code quality
Qualifications
Education:
- High School diploma equivalency with 2 years of cumulative experience OR Associate'
degree/Bachelor's degree with 1 year of experience OR 5 years of applicable cumulative job specific
experience required. 2 years of leadership or management experience preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.