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Mlops Jobs in Springfield, OH (NOW HIRING)

ClifyX

Machine Learning Engineer

Dayton, OH · On-site

The role involves designing advanced ML models, managing MLOps pipelines, and collaborating with teams to deliver production-ready AI solutions. Responsibilities : • Design advanced ML models ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

Your responsibilities span the entire AI/ML lifecycle, from data processing and model development to MLOps, system integration, and operational deployment. What You'll Work On * Design, develop, and ...

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience ...

Phase2 Technology

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

You will contribute end‑to‑end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

You will contribute endtoend, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience ...

CareSource

AI Developer

Dayton, OH · On-site +1

$94K - $164K/yr

Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management * Apply AIOps practices to enhance operational efficiency, automate incident ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

You will contribute endtoend, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience ...

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All JobsMlops JobsMlops Jobs in Springfield, OH

Mlops information

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.

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

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

Is MLOps outdated?

MLOps is an evolving field focused on deploying and managing machine learning models efficiently. It remains highly relevant as organizations increasingly adopt AI solutions, with skills in automation, cloud platforms, and monitoring tools in demand. Staying current with new tools and best practices is essential for MLOps professionals.

What is the average salary in MLOps?

The average salary for MLOps engineers typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in cloud platforms, automation, and machine learning deployment tend to earn higher salaries.

What cities near Springfield, OH are hiring for Mlops jobs?

Cities near Springfield, OH with the most Mlops job openings:

Mlops jobs near you
Infographic showing various Mlops job openings in Springfield, OH as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Machine Learning Engineer

ClifyX

Dayton, OH • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning Engineer. The role involves designing advanced ML models, managing MLOps pipelines, and collaborating with teams to deliver production-ready AI solutions.
Responsibilities:
• Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning.
• Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD.
• Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.
Qualifications:
Required:
• Strong hands on experience with Core ML & Stats (optimization, supervised unsupervised learning)
• NLP (semantic search, embeddings, text modeling)
• MLOps (MLflow, Kubeflow, Airflow, Docker, CICD)
Preferred:
• Healthcare insurance Managed Care (MCO) experience familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus.
• Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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