Ascension is hiring a
Remote MLOps Engineer

📍 Remote

Details

Department: Ascension Data Science Institute
Schedule: Full time, 8 hour day shift, Monday - Friday
Location: Remote

Benefits

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

Requirements

Education:

High School diploma equivalency with 2 years of cumulative experience OR Associate's
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.

Additional Preferences

No additional preferences.

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.

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.

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SOFTWARE DEVELOPMENT REMOTE AI MACHINE LEARNING DATA SCIENCE DOCKER KUBERNETES CI/CD DEVOPS CLOUD PYTORCH PYTHON NONPROFIT