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Reveille Technologies

ML Ops Engineer

Concord, CA · On-site

Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Develop and maintain ML pipelines using tools like MLflow, Kubeflow ...

Kanini Software Solutions

MLOps Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

Tooling: Integrate GCP-native tools (e.g., Vertex AI,Cloud composer) and open-source MLOps frameworks (e.g., MLflow, Kubeflow)to support the ML lifecycle. Qualifications Technical Skills:

Kanini Software Solutions

$41 - $55/hr

Tooling: Integrate GCP-native tools (e.g., Vertex AI,Cloud composer) and open-source MLOps frameworks (e.g., MLflow, Kubeflow)to support the ML lifecycle. Qualifications Technical Skills:

Redfish Recruiting

Experience with AI/ML flow, Kubeflow, Vertex AI, SageMaker, or similar platforms. * Background in model governance, drift detection, fairness/bias evaluation, and compliance. * Domain specialization ...

Texas State Library and Archives Commision

Sr ML Engineer

$107K - $146K/yr

Work on Kubeflow pipelines independently and propose standards. Knowledge of Feature Engineering, Feature Store, and audit capabilities. Expertise in standard software engineering methodology, e.g ...

Hirekeyz Inc

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100K - $131K/yr

Experienced with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools (Kubeflow, MLflow, Vertex AI Pipelines). * Proven record developing and deploying secure, enterprise ...

ClifyX

Enterprise Architect AI

Edison, NJ · On-site

$70 - $90.25/hr

Required : • 10-15 years' experience • 5 days in office • Will need to travel 30% • Experience in AI/ML, Agentic AI, Generative AI, LLMs • Experience with MLOps tools (MLflow, Kubeflow ...

Accord Technologies Inc.

MLOPS Engineer

Chicago, IL · On-site

Title: MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Required Skills f or the MLOps Engineer: - Bachelor's plus 9+ years of experience ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations. • Work closely with data ...

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How much do kubeflow jobs pay per year?

As of Sep 13, 2026, the average yearly pay for kubeflow in the United States is $156,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $208,000.00 per year, depending on experience, location, and employer.

What is a Kubeflow?

A Kubeflow job is a workload running on Kubeflow, typically involving machine learning (ML) tasks such as training, tuning, or batch inference. It leverages Kubernetes resources to efficiently manage and scale ML workflows. Kubeflow provides components like TFJob, PyTorchJob, and MPIJob to support various ML frameworks. These jobs ensure reproducibility, scalability, and portability of ML models in cloud or on-prem environments.

What are some common challenges faced by Kubeflow engineers when deploying machine learning models in production?

Kubeflow engineers commonly encounter challenges such as ensuring seamless integration between various ML pipeline components, optimizing resource allocation within Kubernetes clusters, and maintaining reproducibility and scalability of experiments. Navigating the complexities of version control for data, code, and models, as well as monitoring and troubleshooting pipeline failures, also require careful attention. Collaboration with data scientists, DevOps engineers, and stakeholders is essential to address these issues effectively. Overcoming these obstacles helps maintain efficient, reliable, and production-ready machine learning workflows.

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

To thrive as a Kubeflow engineer or specialist, you need a solid background in machine learning operations (MLOps), containerization (especially Kubernetes), and Python programming, often supported by experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with tools like Kubeflow Pipelines, Docker, and CI/CD systems, along with certifications in Kubernetes or cloud technologies, are highly beneficial. Strong problem-solving skills, effective communication, and a collaborative mindset are critical soft skills for this position. These capabilities enable you to efficiently develop, deploy, and scale ML workflows, ensuring robust and seamless machine learning operations in production environments.

What does Kubeflow do?

Kubeflow is an open-source platform designed to deploy, manage, and scale machine learning workflows on Kubernetes. It provides tools for building, training, and serving ML models, enabling data scientists and engineers to streamline the development process in cloud-native environments.
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Kubeflow jobs near you
Infographic showing various Kubeflow job openings in the United States as of September 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $156,999 per year, or $75.5 per hour.

ML Ops Engineer

Concord, CA • On-site

Reveille Technologies
51 - 200 employees
Learn more about Reveille Technologiesexternal

Other

Posted 29 days ago

Job description

Hi,
ONLY LOCAL CANDIDATES - FACE TO FACE INTERVIEW MUST
Job Title: ML Ops Engineer
Location : Concord, California
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or
Vertex AI.
Thanks & Regards,Preethi SReveille Technologies Inc.,

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