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Volunteer Mlops Engineer Jobs (NOW HIRING)

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 ...

🚀 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 ...

🚀 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 ...

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 ...

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 ...

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 ...

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 ...

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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$8

$19

$33

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
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:
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.
Openshift AI Ops Consultant

Openshift AI Ops Consultant

TEKsystems

Pennington, NJ

$80 - $90/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

🚀 OpenShift AI Ops Resident (SRE / MLOps)

📍 Pennington, NJ (Onsite 3 days/week – non-negotiable)

⏳ Contract (6 months, strong extension potential)


💡 Overview

We’re seeking a senior AI Platform SRE / MLOps engineer to support and stabilize a production Generative AI platform , running on Red Hat OpenShift.

This is a hands-on, high-impact role focused on operational excellence, reliability engineering, and performance tuning of GPU-accelerated AI workloads in a regulated enterprise environment.

You will act as a key technical resource within Dell’s delivery team, helping bring structure, stability, and scalability to an evolving GenAI platform.


🎯 What You’ll Do
  • Own day-to-day operations of a production GenAI platform running on OpenShift/Kubernetes
  • Diagnose and resolve performance, stability, and scaling issues across AI workloads
  • Optimize GPU-based inference pipelines using tools like:
    • NVIDIA Triton Inference Server
    • TensorRT / CUDA
  • Implement SRE best practices:
    • Monitoring & observability (Prometheus, Grafana, etc.)
    • Incident response & root cause analysis
    • Automation & runbook creation
  • Improve cluster performance, resource utilization, and reliability
  • Collaborate with stakeholders while operating with high autonomy and limited guidance
  • Ensure platform adheres to enterprise governance, security, and compliance standards

✅ Required Qualifications (Must-Have)
  • 8+ years in SRE / DevOps / Platform Engineering roles
  • Deep experience with Red Hat OpenShift or Kubernetes in production environments
    • Cluster administration, scaling, upgrades, troubleshooting
  • Hands-on experience supporting AI/ML workloads in production
  • Proven experience with GPU-accelerated environments, including:
    • NVIDIA stack (CUDA, Triton, TensorRT, etc.)
  • Strong SRE mindset:
    • Incident management, monitoring, uptime, reliability engineering
  • Scripting/automation experience (Python, Bash, etc.)
  • Ability to operate independently in ambiguous, high-pressure environments

➕ Nice to Have
  • Experience in financial services or regulated environments
  • Familiarity with MLOps tooling (Kubeflow, MLflow, ArgoCD)
  • Knowledge of model optimization techniques (quantization, pruning)
  • Certifications:
    • Red Hat (RHCE)
    • CKA / CKS
  • Prior consulting or residency-style engagements

⚠️ Important Notes
  • Onsite requirement: 3 days/week in Pennington, NJ
  • (No remote exceptions; travel not reimbursed)
  • This role is operations-focused, not model development
  • Initial contract is ~6 months with strong potential for extension
  • You will be expected to lead, not follow—high ownership and accountability

🔥 Why This Role?
  • Work on a live, enterprise-scale Generative AI platform
  • Solve real production challenges, not experimental projects
  • High visibility with Dell + Bank of America leadership
  • Opportunity to stabilize and shape the future of AI infrastructure in a regulated environment

🎯 Ideal Candidate

A senior AI platform engineer / SRE who thrives at the intersection of:

  • Kubernetes/OpenShift infrastructure
  • GPU-accelerated ML systems
  • Production reliability and performance

You’re someone who can step into a complex environment, quickly identify gaps, and drive meaningful improvements from day one.

Job Type & Location

This is a Contract position based out of Pennington, NJ.

Pay and Benefits

The pay range for this position is $80.00 - $90.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Pennington,NJ.

Application Deadline

This position is anticipated to close on Jun 22, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.