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Process Automation Engineer III, Manufacturing Engineering
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The Process Automation Engineer III is a key member of the site Engineering team, reporting to the Manufacturing Engineering Automation Manager. This role is responsible for supporting and…
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Infrastructure Engineer Consultant-AVD
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Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!
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Maintenance Engineer PM
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- $39.9 to $42.31 USD / hour
This hands-on Maintenance Engineer role supports second-shift operations in a fast-paced cable assembly and electrical manufacturing environment. You serve as the primary technical resource…
Added 5 mins ago
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Maintenance Engineer PM
Actalent
Franklin, NJ
- $39.9 to $42.31 USD / hour
This hands-on Maintenance Engineer role supports second-shift operations in a fast-paced cable assembly and electrical manufacturing environment. You serve as the primary technical resource…
Added 5 mins ago
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Maintenance Engineer PM
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- $39.9 to $42.31 USD / hour
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Data Engineer
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Identify recurring issues and opportunities for automation and process improvement.
Added 5 mins ago
Lead DevSecOps Engineer
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Senior End User Engineer
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Support Engineer
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Software Development Engineer, iOS
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Lead Software Engineer - Agentic AI
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As a Lead Software Engineer at JPMorganChase with in Enterprise Technology Cloud Foundational Services, you are an integral part of an agile team that works to enhance, build, and deliver…
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Delivery Consultant - Migrations, Cloud Platform and Migrations, AWS Professional Services
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…solutions. You will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the…
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Lead Infrastructure Engineer
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Lead Software Engineer
JPMorgan Chase
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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
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Coach and mentor Applications Operations engineers, building depth in Linux, automation, cloud, and operations practices.
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Java Full Stack Engineer with Spring boot/AWS Experience
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Cloud Engineer
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- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 7 mins ago
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System Engineer
Markon
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- $120,000 to $145,000 USD / year
Identify opportunities for automation, process improvement, and enhanced system reliability.
Added 7 mins ago
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Software Engineer
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Identify opportunities for automation, process improvement, and enhanced system reliability.
Added 8 mins ago
Cyber Threat Hunter Lead
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Added 8 mins ago
AI - ML DevOps Engineer
HonorHealth Support Services
United States
The AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This role…
Added 9 mins ago
Process Engineer - New Product Introduction
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HonorHealth Support Services

AI - ML DevOps Engineer

United States

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Job details

Posting language: English
Posted: Nov 7, 2026

Original job description

Primary City/State:

Virtual ArizonaCategory:

Data IntelligenceShift:

DayDepartment:

Augmented Intelligence

Hours: Monday-Friday Days Location: Remote -- Must be located in Arizona -- Occasional on site as needed.

Great care starts with great people. (Like you.)

At HonorHealth, you’ll find something special. From humble beginnings in 1927 to one of Arizona’s largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most - caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities:

JOB SUMMARY

The AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This role operationalizes models and pipelines, monitors performance, and partners with data, engineering, and stakeholders to deliver reliable solutions aligned to governance and data handling expectations. The role partners closely with data engineers, data scientists, AI model developers, platform teams, and business stakeholders to translate complex needs into production-ready deployments, monitor ongoing performance, and continuously improve AI/ML capabilities aligned to governance and operational standards.

ESSENTIAL FUNCTIONS

Design and implementation of the environment that deploys scalable AI/ML solutions, including predictive models, large language model use cases, and agentic workflows that support clinical, operational, and business objectives.
Develops and maintains end-to-end machine learning and RAG pipelines supporting data ingestion, application feature engineering, training, evaluation, deployment, and lifecycle management.
Architects and supports production-grade DevOps practices, including CI/CD, model versioning, automated testing, monitoring, alerting, retraining, and rollback strategies.
Deploys and manages AI/ML applications in cloud environments, ensuring solutions are secure, reliable, performant, and operationally supportable.
Implements observability and performance evaluation practices to manage compute resource utilization, performance, and cost efficiency. Works with AI development team to a continuous improvement feedback loop.
Ensures AI/ML and agentic solutions comply with data governance, privacy, security, and responsible AI expectations, including HIPAA-aligned practices where applicable.
Creates and maintains technical documentation for deployments, workflows, operational procedures, assumptions, limitations, and support processes.
Troubleshoots complex pipeline, infrastructure, model, and integration issues; implements fixes and drives continuous improvement in operational stability and delivery efficiency.
Core Skills: Hands-on experience with cloud-native AI/ML services and infrastructure, preferably in Google Cloud Platform (GCP), including services for training, inference, orchestration, and scalable compute Proficiency info MLOps, DevOps, and software engineering practices such as CI/CD, Git-based workflows, containerization, Infrastructure as Code, and automated testing Proficiency with establishing connections via API calls and MCP servers. Strong SQL and data engineering skills with experience in large-scale data processing, backend engineering, and integration across enterprise data platforms Experience with API development and systems integration to embed AI/ML capabilities into enterprise applications and workflows Strong analytical and problem-solving skills with the ability to diagnose issues across data, models, infrastructure, and orchestration layers Excellent communication and collaboration skills with the ability to document and explain technical concepts clearly to both technical and non-technical stakeholders
Performs other duties as assigned.

EDUCATION

Bachelors Computer Science, Data Science, Engineering, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related quantitative field; or 4 years’ relevant experience. Required

EXPERIENCE

3 years, of progressive experience in DevOps within a Cloud deployment in AI/ML Ops, data engineering, or related software engineering roles, including at least 1 year deploying and operating AI/ML production workloads. Required

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Skills

ML
Machine learning
CI/CD
Test automation
Process improvement
Documentation
Google Cloud
DevOps
Git
Infrastructure as code
SQL
Data engineering
Process data
Problem solving
Communication skills
Collaboration
Computer science
Artificial intelligence
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