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Mlops Engineer Jobs (NOW HIRING)

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MLOPS Engineer

Concord, CA · On-site

Job Role: MLOPS Engineer Job Location: Concord, CA (100% Onsite) Job Type: Contract Key Responsibilities: * Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.

Hirekeyz Inc

MLOps Engineer

San Francisco, CA · On-site

Role: MLOps Engineer Location: San Francisco, California Duration: Long Term Contract Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.

Booz Allen Hamilton

MLOps Engineer, Mid

Chantilly, VA

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you ...

Booz Allen Hamilton

Mid MLOps Engineer

Chantilly, VA

$77K - $176K/yr

R0241240 MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA · On-site

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge ...

Booz Allen Hamilton

MLOps Engineer, Mid

Aurora, CO

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you ...

Booz Allen Hamilton

MLOps Engineer, Mid

Alexandria, VA

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you ...

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA

$212K - $318K/yr

The MLOps Engineer will drive end-to-end quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling. This hire will build, deploy, and optimize AI/ML based ...

Booz Allen Hamilton, Inc.

MLOps Engineer, Mid

Chantilly, VA · On-site

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you ...

Vaco LLC

AI/MLOps Engineer

Farmers Branch, TX · On-site

AI/MLOps Engineers are responsible for automating and optimizing the lifecycle of machine learning models, ensuring seamless integration into business workflows and delivering real-world impact ...

Apptronik

Staff MLOps Engineer

Austin, TX · On-site

JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform - the system of record for datasets, experiments, model artifacts, and serving paths that ...

IT America Inc

DevOps/MLOps Engineer

Cumming, GA · On-site

$47 - $64.50/hr

... MLOps Engineer Location: Cumming, GA Duration: Long-term contract Note: Final interview will take place onsite--only local candidates will be considered * Our Fintech client is looking for an ...

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$90 - $140/hr

MLOps Engineer Expert Type: Contract Compensation: $90-$140/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and ...

Solventum

Principal MLOps Engineer

Pittsburgh, PA · On-site +1

Principal MLOps Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough ...

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Mlops Engineer information

What is an MLOps Engineer job?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges Mlops Engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive in the Mlops Engineer position, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

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Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in the United States as of June 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

ML Engineer MLops

Concord IT Systems

Cincinnati, OH

Other

Posted 2 days ago

Job description

Job Title: ML Engineer - MLops
Sub Skill: MLOPS - Cloud (AWS/ GCP/ Azure)
Type: Contract
Location: Cincinnati, OH (onsite day 1)
Job Summary:
We're looking for an MLOps Engineer (Azure focused) who is experienced in designing and implementing AI applications at scale in production for our Enterprise AI team. The team is a cross-functional team and has AI Engineers, MLOps Engineers, Software Engineers, data scientists and data engineers in building end to AI Solutions on Azure.
Roles and Responsibilities:
As an AI architect you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions.
Owning End to End Model life cycle from Build, Operationalize and monitor ML models on Azure using Azure ML, Azure AI services etc.
Design & implementation of DevOps principles in AI/ML.
Model quality assurance and testing
Model Governance and Monitoring
Execute best practices in version control and continuous integration / delivery
Collaborate with data scientists, engineers, and other key stakeholders.
Work well in a fast-paced cross-functional environment
Skills/Requirements:
8+ years of overall experience and minimum 5+ years' experience in AI/ML
Experience in Architecting & Implementing ML solutions on Azure.
Experience with Azure DevOps, Docker, Jenkins, Kubernetes, and other DevOps tools.
Good Python Programming skills. Experience with distributed frameworks like Dask, Ray etc. will be advantage.
Experience with Machine learning frameworks, libraries, and agile environments.
Experience with version control tools such as Git, Bitbucket etc.
Experience with No SQL databases.
Very Strong communication skills
Outstanding analytical and problem-solving skills

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