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Mlops Engineer Remote Jobs in Cumming, GA (NOW HIRING)

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

... MLOps, and interpretability frameworks. · Promote compliance with industry standards and ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible ...

Mlops Engineer Remote information

See Cumming, GA salary details

$33.9K

$103.4K

$170.8K

How much do mlops engineer remote jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mlops engineer remote in Cumming, GA is $103,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $135,100.00 per year, depending on experience, location, and employer.

What does an MLOps engineer do in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

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

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

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

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.

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

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What are popular job titles related to Mlops Engineer Remote jobs in Cumming, GA?

For Mlops Engineer Remote jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer Remote jobs in Cumming, GA look for?

The top searched job categories for Mlops Engineer Remote jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Mlops Engineer Remote jobs?

Cities near Cumming, GA with the most Mlops Engineer Remote job openings:

Infographic showing various Mlops Engineer Remote job openings in Cumming, GA as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $103,360 per year, or $49.7 per hour.

MLOPs Lead Location:- Remote Duration:- Full Time

Siri InfoSolutions Inc

Atlanta, GA • Remote

$60.50 - $79/hr

Full-time

Re-posted 2 days ago


Job description

MLOPs Lead

Location:- Remote

Duration:- Full Time

Job Description

  • Python, Model Engg on Pytorch, Tensorflow, TFX, Flask, TorchServing, GCP (Google Cloud Platform), Vertex AI and Kubeflow
  • Experience in AI/ML more than 5 years.
  • Minimum 3 years’ experience played as a ML ops
  • Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Roles & Responsibilities:

  • Meeting with Client team to understand the requirements and opportunities.
  • Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives. o Identifies areas for process improvement.
  • Maintains appropriate communication within the team and across various teams (i.e., internal and external). Strong analytical ability o Excellent oral and written communication skills is a must. 

Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005