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Ml Devops Jobs (NOW HIRING)

Honorhealth

Senior AI/ML DevOps Engineer

$133K - $170K/yr

JOB SUMMARY The Senior AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This ...

Honorhealth

Senior AI/ML & DevOps Engineer

$133K - $170K/yr

... AI/ML services and infrastructure, preferably in Google Cloud Platform (GCP), including services for training, inference, orchestration, and scalable compute * Knowledge of MLOps, DevOps, and ...

Coherent Solutions

NY · On-site

Familiarity with CI/CD, DevOps, and infrastructure‑as‑code practices for ML engineering; * Experience with data governance, security, and compliance in cloud environments; * Excellent ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. * Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. * Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude ...

Adtech

AI/ML Engineer With DevOps

Ashburn, VA · On-site

$54 - $74/hr

... DevOps Location: Ashburn, VA (Hybrid 2 days a week onsite) Duration: Full time Responsibilities include but are not limited to: * Lead the integration and deployment of trained AI/ML models into ...

High 5 Games

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · On-site

... DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... AIOps, ML Ops, model ops, and data ops to develop tools and get them into the hands of those who ...

High 5 Games

DevOps Engineer

New York, NY · Remote

$54 - $74/hr

You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players ...

High 5 Games

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players ...

Booz Allen Hamilton

AI/ML Engineer

Hampton, VA · Hybrid

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

Norfolk, Virginia, USA AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton

AI/ML Engineer

Hampton, VA · On-site

R0242615 AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · Hybrid

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

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Infographic showing various Ml Devops job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Senior AI/ML DevOps Engineer

Remote

Honorhealth
Health Care and Social Assistance • 10K+ employees
Learn more about Honorhealthexternal

$133K - $170K/yr

Full-time

Posted 14 days ago

HonorHealth rating

7.7

Company rating: 7.7 out of 10

Based on 212 frontline employees who took The Breakroom Quiz

163rd of 898 rated healthcare providers

Job description

Primary City/State:

Virtual Arizona

Category:

Data Intelligence

Shift:

Day

Department:

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 Senior 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, 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
  • Leads the 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 architectures, models, 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
  • 7 years, of progressive experience in DevOps within a Cloud deployment in, AI/ML Ops, data engineering, or related software engineering roles, including at least 3 years deploying and operating AI/ML production workloads. Required

LICENSE AND CERTIFICATIONS

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What HonorHealth employees say

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About HonorHealth

Sourced by ZipRecruiter

HonorHealth is a non-profit, local community healthcare system serving an area of 1.6 million people in the greater Phoenix area. The network encompasses six acute-care hospitals, an extensive medical group, outpatient surgery centers, a cancer care network, clinical research, medical education, a foundation, and community services with approximately 13,100 team members, 3,500 affiliated providers and nearly 700 volunteers. HonorHealth was formed by a merger between Scottsdale Healthcare and John C. Lincoln Health Network. HonorHealth's mission is to improve the health and well-being of those we serve.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

Year founded

2014

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