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Volunteer Mlops Engineer Jobs (NOW HIRING)

Cliftonlarsonallen

Lead ML Ops engineer

Arlington, VA · On-site

$117K - $155K/yr

Paid Volunteer Time Off * Mental health coverage * Quarterly Wellness stipend * Fertility benefits ... Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet ...

TEKsystems

Openshift AI Ops Consultant

Trenton, NJ

$80 - $90/hr

🚀 OpenShift AI Ops Resident (SRE / MLOps) 📍 Pennington, NJ (Onsite 3 days/week - non ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

TEKsystems

Openshift AI Ops Consultant

Trenton, NJ

$80 - $90/hr

🚀 OpenShift AI Ops Resident (SRE / MLOps) 📍 Pennington, NJ (Onsite 3 days/week - non ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · Hybrid

$128K - $165K/yr

About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

Guidewire Software

OR · On-site

$104K - $143K/yr

Collaborate with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering to ... Paid time off programs, including volunteer time off * Market-competitive pay and incentive ...

Guidewire

Senior AI/ML Platform Engineer

San Mateo, CA

$119K - $163K/yr

Collaborate with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering to ... Paid time off programs, including volunteer time off * Market-competitive pay and incentive ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

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 ...

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Volunteer Mlops Engineer information

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How much do volunteer mlops engineer jobs pay per hour?

As of Jun 15, 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 are the key skills and qualifications needed to thrive as a Volunteer MLOps Engineer, and why are they important?

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles like MLOps engineers with expertise in cloud platforms, automation, and large-scale deployment may reach this level with seniority and performance bonuses.

What are Volunteer MLOps Engineers?

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.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. Companies seek professionals skilled in deploying, managing, and scaling machine learning models using tools like Docker, Kubernetes, and cloud platforms, making MLOps a valuable and growing field for job seekers.

What is the salary of MLOps engineer?

The salary of an MLOps engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and automation tools may earn higher compensation.

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.

Can you volunteer as an engineer?

Yes, it is possible to volunteer as an MLOps engineer by contributing to open-source projects, non-profit organizations, or community initiatives that require machine learning operations expertise. Volunteering often involves applying skills in cloud platforms, automation tools, and scripting, and may require a good understanding of CI/CD pipelines and containerization. Such opportunities can help build experience and support causes without formal employment commitments.

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.
More about Volunteer Mlops Engineer jobs
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Volunteer Mlops Engineer jobs near you
Infographic showing various Volunteer Mlops Engineer job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 17% Part Time, and 50% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.