Operations Engineer Jobs in Columbus, OH
Operations Engineer jobs in Columbus are concentrated in the Easton corridor, the Short North tech and creative district, and the Polaris business area, across manufacturing, logistics, and enterprise technology. Employers hiring right now include The Ohio State University Wexner Medical Center, NetJets, and Mimecast. Find a role that fits below and apply directly.
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Showing 5 of 11+ Operations Engineer jobs
INTRODUCTION
We are seeking an experienced AI/MLOps Engineer to join an innovative healthcare organization focused on leveraging AI and machine learning to improve business outcomes. This is an exciting opportunity to help build scalable machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production. This is a fully remote, contract-to-hire opportunity with occasional quarterly travel.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Microsoft Azure technologies.
- Build and maintain scalable machine learning pipelines and production workflows.
- Deploy, monitor, and optimize machine learning models in production environments.
- Automate ML model deployment through CI/CD pipelines.
- Partner closely with Data Scientists and Data Engineers to operationalize machine learning models.
- Develop AI-powered solutions including natural language processing (NLP), recommendation engines, sentiment analysis, image recognition, and chatbot capabilities.
- Implement Azure AI Services, Azure Machine Learning, and Azure Cognitive Services.
- Utilize containerization technologies such as Docker and Kubernetes.
- Monitor model performance and implement updates and retraining as needed.
- Ensure machine learning environments meet security and compliance standards.
- Continuously improve the scalability, reliability, and performance of AI platforms.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience).
- 5+ years of software development or engineering experience.
- 3+ years of experience delivering end-to-end machine learning projects, including recent hands-on MLOps experience.
- Strong experience with Microsoft Azure cloud services.
- Experience with Azure Machine Learning and Azure AI Services.
- Strong programming skills in Python (preferred), Java, or Scala.
- Experience deploying machine learning models into production environments.
- Hands-on experience with Docker and Kubernetes.
- Experience implementing CI/CD pipelines for machine learning solutions.
PREFERRED QUALIFICATIONS
- Experience with MLflow or Kubeflow.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Background in natural language processing (NLP).
- Experience building enterprise AI applications and production-grade ML platforms.
- Familiarity with Azure Bot Services and Azure Cognitive Services.
WHAT YOU'LL BRING
- Passion for building scalable AI and machine learning solutions.
- Strong collaboration skills and the ability to work cross-functionally with engineering and data science teams.
- Excellent problem-solving abilities and attention to detail.
- A desire to help drive AI innovation in a collaborative environment.
LOCATION
Fully Remote (U.S.)
TRAVEL
Occasional quarterly travel
EMPLOYMENT TYPE
Contract-to-Hire
If you're passionate about operationalizing machine learning and building modern AI platforms in Azure, we'd love to hear from you.
INTRODUCTION
We are seeking an experienced AI/MLOps Engineer to join an innovative healthcare organization focused on leveraging AI and machine learning to improve business outcomes. This is an exciting opportunity to help build scalable machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production. This is a fully remote, contract-to-hire opportunity with occasional quarterly travel.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Microsoft Azure technologies.
- Build and maintain scalable machine learning pipelines and production workflows.
- Deploy, monitor, and optimize machine learning models in production environments.
- Automate ML model deployment through CI/CD pipelines.
- Partner closely with Data Scientists and Data Engineers to operationalize machine learning models.
- Develop AI-powered solutions including natural language processing (NLP), recommendation engines, sentiment analysis, image recognition, and chatbot capabilities.
- Implement Azure AI Services, Azure Machine Learning, and Azure Cognitive Services.
- Utilize containerization technologies such as Docker and Kubernetes.
- Monitor model performance and implement updates and retraining as needed.
- Ensure machine learning environments meet security and compliance standards.
- Continuously improve the scalability, reliability, and performance of AI platforms.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience).
- 5+ years of software development or engineering experience.
- 3+ years of experience delivering end-to-end machine learning projects, including recent hands-on MLOps experience.
- Strong experience with Microsoft Azure cloud services.
- Experience with Azure Machine Learning and Azure AI Services.
- Strong programming skills in Python (preferred), Java, or Scala.
- Experience deploying machine learning models into production environments.
- Hands-on experience with Docker and Kubernetes.
- Experience implementing CI/CD pipelines for machine learning solutions.
PREFERRED QUALIFICATIONS
- Experience with MLflow or Kubeflow.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Background in natural language processing (NLP).
- Experience building enterprise AI applications and production-grade ML platforms.
- Familiarity with Azure Bot Services and Azure Cognitive Services.
WHAT YOU'LL BRING
- Passion for building scalable AI and machine learning solutions.
- Strong collaboration skills and the ability to work cross-functionally with engineering and data science teams.
- Excellent problem-solving abilities and attention to detail.
- A desire to help drive AI innovation in a collaborative environment.
LOCATION
Fully Remote (U.S.)
TRAVEL
Occasional quarterly travel
EMPLOYMENT TYPE
Contract-to-Hire
If you're passionate about operationalizing machine learning and building modern AI platforms in Azure, we'd love to hear from you.
See All 11 Operations Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find Operations Engineer JobsOperations Engineer Job Market in Columbus
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Airlines
- Insurance
- E-Commerce & Online Marketplaces
Operations Engineer Jobs in Columbus: Frequently Asked Questions
How do I get a operations engineer job in Columbus?
Target Columbus's strongest hiring sectors: manufacturing and distribution along the I-70 and I-71 corridors, healthcare systems, and enterprise technology firms clustered around Easton and Polaris. Candidates who combine process improvement credentials, such as Lean or Six Sigma, with direct experience in those industries move faster through local hiring pipelines. Networking through Columbus-area industry groups and applying to mid-size manufacturers and logistics operators gives you an edge over generic online applications.
Which companies hire operations engineers in Columbus?
Employers hiring operations engineers in Columbus right now include The Ohio State University Wexner Medical Center, NetJets, and Mimecast, based on current listings on Migrate Mate as of July 2026. Columbus attracts a wide range of employer types, from large distribution and fulfillment operations to regional healthcare systems and growing technology companies, all of which maintain dedicated operations engineering functions.
Are there remote operations engineer jobs in Columbus?
Yes, but only for certain specialties. Operations engineer roles tied to physical infrastructure, manufacturing lines, or on-site logistics are almost always on-site, while analytical, process design, and systems-focused positions can often be done remotely. About 75% of operations engineer openings tied to Columbus are remote or hybrid as of July 2026, with the largest share coming from enterprise technology and business operations employers in the Easton and downtown Columbus areas.
How can I get a operations engineer job in Columbus with little or no experience?
The most realistic entry path in Columbus is through associate or junior process engineer roles at mid-size manufacturers in the central Ohio corridor, where companies often hire candidates with industrial, mechanical, or systems engineering degrees and train on-site. Columbus-area distribution and fulfillment centers also hire entry-level operations analysts who grow into engineer roles. A Lean or Six Sigma white belt certification strengthens an application, and internships with Columbus-based healthcare or logistics firms frequently convert to full-time offers.
Which industries hire the most operations engineers in Columbus?
The sectors hiring the most operations engineers in Columbus are Technology & Software, Retail, and Airlines, based on current listings on Migrate Mate as of July 2026. Columbus's position as a major Midwest logistics hub and its concentration of large healthcare systems and enterprise technology employers makes those sectors the consistent drivers of local operations engineering demand.
See All 11 Operations Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
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