ZipRecruiter

Log In

1

Kubeflow Jobs (NOW HIRING)

Programmers.io

Java with AI ML ENgineer

Dallas, TX · On-site

$51.25 - $70.25/hr

Enable continuous learning and model retraining workflows using Vertex AI or Kubeflow on GCP * Enable observability and reliability of AI decisions by logging model predictions, confidence scores and ...

Purple Drive Technologies

ML OPS ARCHITECT

Woodland Hills, CA · On-site

$67.50 - $86.75/hr

Kubeflow, Apache Airflow). • 2+ years: ML Feature Store Tools (Eg. Tecton, Databricks, FeatureForm). • 3+ years: DevOps (Eg. Argo CD / Argo Workflows), Containerization (Kubernetes, ROSA). • 3+ ...

Texas State Library and Archives Commision

Sr ML Engineer

$107K - $146.90K/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 ...

Paradigm

Manager, ML Ops Infrastructure

Middleton, WI · Remote

$110K - $144.30K/yr

Hands-on experience with Kubernetes and container orchestration for ML workloads (Kubeflow, KServe, Ray, or similar). * Experience working with Azure cloud services such as Azure ML, Azure OpenAI ...

Paradigm

Manager, ML Ops Infrastructure

Seattle, WA · Remote

$110K - $144.30K/yr

Hands-on experience with Kubernetes and container orchestration for ML workloads (Kubeflow, KServe, Ray, or similar). * Experience working with Azure cloud services such as Azure ML, Azure OpenAI ...

Paradigm

Manager, ML Ops Infrastructure

Irving, TX · Remote

$110K - $144.30K/yr

Hands-on experience with Kubernetes and container orchestration for ML workloads (Kubeflow, KServe, Ray, or similar). * Experience working with Azure cloud services such as Azure ML, Azure OpenAI ...

Paradigm

Manager, ML Ops Infrastructure

Denver, CO · Remote

$110K - $144.30K/yr

Hands-on experience with Kubernetes and container orchestration for ML workloads (Kubeflow, KServe, Ray, or similar). * Experience working with Azure cloud services such as Azure ML, Azure OpenAI ...

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 ...

QTech US Inc

AI/ML Engineer - Plano, TX

Plano, TX

$110.10K - $132.20K/yr

NLP / Generative AI / LLMs 10+ years experience required Computer Vision Docker & Kubernetes CI/CD pipelines MLflow / Kubeflow / SageMaker Data ingestion and preprocessing Scalable AI solution ...

Crusoe

Senior Staff Solutions Engineer (NYC)

Manhattan, NY · On-site

$60.75 - $78.50/hr

... g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency. • Go beyond abstracted services--deploy and optimize AI/ML workloads directly on Crusoe ...

Hirekeyz Inc

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100.10K - $131.80K/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 ...

Futran Tech Solutions Pvt. Ltd.

MLops Engineer

... KubeFlow etc.) > Experience in Google Cloud Tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI/KF Pipeline, etc.) >Knowledge of Git and Github. Gitops, Bazel and CI/CD deployments with Jenkins ...

next page

Showing results 1-20

People also search for

All JobsKubeflow Jobs

Kubeflow information

See salary details

$129.5K

$157K

$208K

How much do kubeflow jobs pay per year?

As of May 31, 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 job?

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 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 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.
More about Kubeflow jobs
What are the most commonly searched types of Kubeflow jobs? The most popular types of Kubeflow jobs are:
What states have the most Kubeflow jobs? States with the most job openings for Kubeflow jobs include:
What job categories do people searching Kubeflow jobs look for? The top searched job categories for Kubeflow jobs are:
Kubeflow jobs near you
Infographic showing various Kubeflow job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $156,999 per year, or $75.5 per hour.

Machine learning Engineer

Tata Consultancy Service Limited

Pennington, NJ • On-site

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Must Have Technical/Functional Skills
MLOps & Deployment:
CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
Model versioning, monitoring, retraining workflows
Docker, Kubernetes for deployment
Programming & Cloud:
Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience on AWS/Azure/GCP ML services
Roles & Responsibilities
Looking for a strong hands-on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines. Candidate must be technically solid, execution-focused, and able to deliver production-ready ML solutions.
Core Technical Skills Needed
ML Model Development:
Supervised models: Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
Deep learning: Neural Networks, CNN/RNN, Transformers (PyTorch or TensorFlow) Classification models and evaluation techniques (AUC, ROC, precision/recall, cross-validation)
Data Preparation & Feature Engineering: Data cleaning, handling missing values & outliers Feature scaling, encoding, time-series feature generation Strong EDA and statistical analysis skills
Data Pipeline Engineering: Build and maintain ML/data pipelines using Spark, Databricks, Airflow Data ingestion, transformation, validation (Great Expectations preferred)
MLOps & Deployment: CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
Model versioning, monitoring, retraining workflows
Docker, Kubernetes for deployment
Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience on AWS/Azure/GCP ML services
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $105,000 - $125,000 a year

Apply