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Volunteer Mlops Engineer Jobs (NOW HIRING)

Eliassen Group

MLOps / DevOps Engineer

Charlotte, NC · On-site +1

$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 ...

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 ...

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 ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

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 ...

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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All JobsVolunteer Mlops Engineer Jobs

Volunteer Mlops Engineer information

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$8

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$33

How much do volunteer mlops engineer jobs pay per hour?

As of Jul 14, 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 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.

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.

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
What cities are hiring for Volunteer Mlops Engineer jobs? Cities with the most Volunteer Mlops Engineer job openings:
What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
What states have the most Volunteer Mlops Engineer jobs? States with the most job openings for Volunteer Mlops Engineer jobs include:
What job categories do people searching Volunteer Mlops Engineer jobs look for? The top searched job categories for Volunteer Mlops Engineer jobs are:
Volunteer Mlops Engineer jobs near you
Infographic showing various Volunteer Mlops Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
MLOps / DevOps Engineer

MLOps / DevOps Engineer

Eliassen Group

Charlotte, NC • On-site, Remote

$70 - $81/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Job description

Description:

Hybrid 3 on in Charlotte, NC

Our client seeks a senior MLOps / DevOps Engineer focused on platform and infrastructure. The role emphasizes building and operating reliable, scalable, and automated cloud environments that enable machine learning development and deployment. You will collaborate with data scientists, platform teams, and product owners to provision infrastructure as code, implement CI/CD automation, and improve developer experience through tooling and documentation.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $81.00/hr. w2

JN -062026-107530


Responsibilities:
  • Design, build, and maintain cloud infrastructure using Terraform.
  • Develop and manage CI/CD pipelines with GitHub Actions for build, test, and deployment automation.
  • Support and improve MLOps platforms with a focus on reliability, scalability, and automation.
  • Debug and resolve issues across Terraform deployments, pipelines, and cloud services.
  • Automate environment provisioning, configuration, and lifecycle management.
  • Implement monitoring, logging, and alerting to ensure platform health and performance.
  • Collaborate with data scientists and engineers to streamline model deployment and promotion to production.
  • Contribute to repository management, version control practices, and code quality standards.
  • Drive developer experience improvements through tooling, documentation, and self-service capabilities.

Experience Requirements:
  • Strong experience with Terraform for infrastructure provisioning and automation.
  • Proficiency in Python for automation, tooling, and integrations.
  • Hands-on experience with GitHub Actions or similar CI/CD systems, including pipeline design and migration.
  • Strong understanding of Git operations, CI/CD principles, and DevOps practices.
  • Experience with AWS.
  • Experience with containerization and orchestration.
  • Familiarity with the machine learning lifecycle and model deployment workflows.
  • Experience supporting ML platforms, data pipelines, or model infrastructure preferred.
  • Strong communication skills and ability to work cross-functionally.
  • Problem-solving mindset with attention to detail and shared ownership.

Recruitment Transparency Notice
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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