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Volunteer Mlops Engineer Jobs (NOW HIRING)

Iowa State University

MLOps Engineer

Ames, IA · On-site

MLOps Engineer Job Group:Professional & Scientific Required Minimum Qualifications:Bachelor ... Various voluntary benefits and discounts * Employee Assistance Program * Wellbeing program * Iowa ...

Eliassen Group

MLOps / DevOps Engineer

Charlotte, NC · On-site

$70 - $81/hr

Hybrid 3 on in Charlotte, NC Our client seeks a senior MLOps / DevOps Engineer focused on platform ... voluntary benefits including life and disability insurance, 401(k) with match, and sick time if ...

Viridien

Head of Applied AI Products

Houston, TX · On-site

Strong engineering background (ML engineering, MLOps engineer, or equivalent). * Proven experience ... through volunteering and various company initiatives, as well as a strong company commitment to ...

Monogram Health

Staff Machine Learning Engineer

Operating with full autonomy, you'll establish MLOps excellence, mentor engineering teams, and ... voluntary life insurance, disability insurance, plus health and flexible spending accounts

DailyPay

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $250K/yr

This voluntary employee benefit enables workers everywhere to feel more motivated to work harder ... MLOps Architecture & Delivery: Design and implement scalable ML pipelines covering model training ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

This voluntary employee benefit enables workers everywhere to feel more motivated to work harder ... MLOps Architecture & Delivery: Design and implement scalable ML pipelines covering model training ...

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

This voluntary employee benefit enables workers everywhere to feel more motivated to work harder ... MLOps Architecture & Delivery: Design and implement scalable ML pipelines covering model training ...

InterImage, Inc.

AI Engineer

Annapolis, MD · On-site

$100 - $130/hr

Deploy models into production environments using MLOps best practices Collaboration & Communication ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

InterImage

AI Engineer

Annapolis Junction, MD · On-site

Deploy models into production environments using MLOps best practices Collaboration & Communication ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

InterImage

AI Engineer

Annapolis Junction, MD · On-site

Deploy models into production environments using MLOps best practices Collaboration & Communication ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

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Volunteer Mlops Engineer information

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How much do volunteer mlops engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for volunteer mlops engineer in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What is a volunteer MLOps engineer?

Volunteer MLOps Engineers are professionals who donate their time and expertise to manage and streamline the deployment, monitoring, and maintenance of machine learning models within organizations, typically nonprofits or open-source projects. They work on automating workflows, ensuring scalability, and maintaining the reliability of ML systems without monetary compensation. Their contributions help organizations leverage machine learning technologies efficiently while minimizing operational bottlenecks.

What are the key skills and qualifications needed to thrive as a volunteer MLOps engineer?

To thrive as a Volunteer MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud computing, often supported by experience with data pipelines and deployment processes. Familiarity with tools and platforms such as Docker, Kubernetes, CI/CD pipelines, and cloud services like AWS or GCP is typically required, along with knowledge of version control systems. Strong collaboration, problem-solving skills, and the ability to communicate technical concepts clearly are valuable soft skills in this role. These skills and qualities are crucial for ensuring reliable, scalable, and efficient deployment of machine learning models in collaborative, often resource-constrained environments.

What are some common challenges faced by volunteer MLOps engineers, and how can they be addressed?

Volunteer MLOps Engineers often encounter challenges related to limited resources, such as restricted access to cloud services or hardware, and working with diverse teams who may be spread across different time zones. Effective communication and leveraging open-source tools can help mitigate these issues. Collaborating closely with data scientists and developers, setting clear documentation standards, and prioritizing automation can streamline workflows even in a volunteer setting. Being proactive in seeking feedback and sharing best practices also helps foster a supportive and productive environment.

What is the difference between Volunteer Mlops Engineer vs Data Engineer?

AspectVolunteer Mlops EngineerData Engineer
Required CredentialsBasic understanding of MLOps tools, some experience with cloud platformsStrong SQL, ETL, and database skills, often with certifications in data management
Work EnvironmentNon-profit or open-source projects, remote or flexible settingsCorporate or enterprise data teams, often in office or hybrid setups
Industry UsageAI/ML projects, research, non-profit initiativesData infrastructure, analytics, business intelligence

Volunteer Mlops Engineers focus on deploying and maintaining machine learning models in a volunteer or non-profit context, often with less formal credentials. Data Engineers build and manage data pipelines and infrastructure, typically in corporate environments. While both roles involve working with data and cloud tools, Volunteer Mlops Engineers are more specialized in ML deployment, whereas Data Engineers focus on data architecture and processing.

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Volunteer Mlops Engineer jobs near you
Infographic showing various Volunteer Mlops Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

MLOps Engineer

Iowa State University

Ames, IA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 12 days ago

Iowa State University rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

384th of 619 rated colleges and universities

Job description

Position Title:MLOps EngineerJob Group:Professional & ScientificRequired Minimum Qualifications:Bachelor's degreeJob Description:

Summary of Duties and Responsibilities:

Looking for an opportunity to apply AI and machine learning in ways that truly matter?

If so, the Translational AI Center (TrAC) at Iowa State University is seeking applicants for a MLOps (Machine Learning Operations) Engineer! This position will be classified as a Research and Development Engineer I.

What You'll Do:

  • Build and maintain machine learning infrastructure, CI/CD pipelines, and automated data workflows.

  • Implement model tracking, versioning, and reproducibility practices.

  • Deploy and manage machine learning models in cloud and production environments.

  • Containerize applications and support scalable deployment platforms.

  • Develop and maintain APIs, applications, and services that deliver AI solutions.

  • Monitor system performance, troubleshoot issues, and optimize reliability.

  • Write, test, and maintain high-quality, reusable software.

  • Create and maintain technical documentation.

  • Participate in code reviews and contribute to shared tools and libraries.

  • Collaborate with researchers and stakeholders to transition prototypes into production systems.

  • Support system integration and communicate technical requirements.

  • Provide technical guidance and training as needed.

This is a two-year, fixed term position with the opportunity for renewal.

Preferred Qualifications:

  • Bachelor's degree or above in Computer Science, Computer Engineering, Software Engineering, Data Science, or a related technical field.

  • Two years of related experience in backend software development, AI/ML model deployment, MLOps, DevOps, cloud/platform engineering, or a closely related technical area.

  • Experience deploying AI/ML models from prototype to production, including containerization, model versioning, automated deployment, monitoring, and operational support.

  • Strong backend development experience, preferably in Python, including APIs, distributed services, databases, testing, and reusable software components.

  • Experience with CI/CD, Git-based workflows, containerization, infrastructure automation, experiment tracking, observability, and secure deployment practices.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, including compute, storage, identity management, monitoring, and managed AI/ML services.

  • Experience deploying and supporting shared technical platforms, including user access management, upgrades, backups, capacity planning, and user support.

About TrAC:

At the Translational AI Center (TrAC), we bridge the gap between cutting-edge AI research and real-world applications. Through federally funded initiatives, seed grant projects, and interdisciplinary research thrusts, we drive innovation that shapes the future of AI. To learn more about TrAC, please visit TrAC.

This posting will be open until filled. However, to receive full consideration, applications need to be submitted before August 14th, 2026.

Application Instructions:
To apply for this position, please click on "Apply" and complete the Employment Application. Please be prepared to enter or attach the following:

Resume/Curriculum Vitae

Letter of Application/Cover Letter

Why Choose Iowa State University?
Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as:

  • Retirement benefits including defined benefit and defined contribution plans

  • Generous vacation, holiday, and sick time and leave plans

  • Onsite childcare (Ames, Iowa)

  • Life insurance and long-term disability

  • Flexible Spending Accounts

  • Various voluntary benefits and discounts

  • Employee Assistance Program

  • Wellbeing program

  • Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager.

If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485.

Appointment Type:Regular with Term Appointment (Fixed Term)Proposed End Date or Length of Term:August 31, 2028Number of Months Employed Per Year:12 Month Work PeriodTime Type:Full timePay Grade:PS810Original Posting Date:August 7, 2026Posting Close Date:Job Requisition Number:R19645

Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email eooffice@iastate.edu.

General ISU compensation information can be found on the University Human Resources website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.

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