Silver Spring, MD · On-site
$109K - $148K/yr
Kubeflow, MLflow, Airflow, or equivalent. Experience with cloud-native data and ML services on AWS. Working knowledge of LLMs, prompt engineering, and RAG architecture patterns. Experience with ...
Silver Spring, MD · On-site
$109K - $148K/yr
Kubeflow, MLflow, Airflow, or equivalent. Experience with cloud-native data and ML services on AWS. Working knowledge of LLMs, prompt engineering, and RAG architecture patterns. Experience with ...
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 ...
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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 ...
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 ...
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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 ...
Silver Spring, MD · On-site
$109K - $148K/yr
Kubeflow, MLflow, Airflow, or equivalent. Experience with cloud-native data and ML services on AWS. Working knowledge of LLMs, prompt engineering, and RAG architecture patterns. Experience with ...
Silver Spring, MD · On-site
$109K - $148K/yr
Kubeflow, MLflow, Airflow, or equivalent. Experience with cloud-native data and ML services on AWS. Working knowledge of LLMs, prompt engineering, and RAG architecture patterns. Experience with ...
Austin, TX · Hybrid
$130K/yr
Kubernetes & Kubeflow Management:Deploy, configure, and manage Kubernetes clusters and Kubeflow to orchestrate complex ML training and deployment pipelines. * Model Deployment & LLMOps:Build robust ...
Austin, TX · Hybrid
$130K/yr
Kubernetes & Kubeflow Management:Deploy, configure, and manage Kubernetes clusters and Kubeflow to orchestrate complex ML training and deployment pipelines. * Model Deployment & LLMOps:Build robust ...
Boston, MA · On-site
$70.50 - $90/hr
Strong experience administering JupyterHub or Kubeflow Notebooks * Proficient with YAML, Helm, and Operator-based deployments * Experience with cloud platforms (Azure, or RedHat OpenShift)
Boston, MA · On-site
$70.50 - $90/hr
Strong experience administering JupyterHub or Kubeflow Notebooks * Proficient with YAML, Helm, and Operator-based deployments * Experience with cloud platforms (Azure, or RedHat OpenShift)
Chesapeake, VA · On-site +1
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Chesapeake, VA · On-site +1
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
... 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 ...
... 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 ...
Costa Mesa, CA · On-site
$60.50 - $80.25/hr
Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference. • Monitoring and Logging: Establish ...
Costa Mesa, CA · On-site
$60.50 - $80.25/hr
Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference. • Monitoring and Logging: Establish ...
Costa Mesa, CA · On-site
$137K - $177K/yr
Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference. • Monitoring and Logging: Establish ...
Costa Mesa, CA · On-site
$137K - $177K/yr
Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference. • Monitoring and Logging: Establish ...
Boston, MA · On-site
$70.50 - $90/hr
Strong experience administering JupyterHub or Kubeflow Notebooks * Proficient with YAML, Helm, and Operator-based deployments * Experience with cloud platforms (Azure, or RedHat OpenShift)
Boston, MA · On-site
$70.50 - $90/hr
Strong experience administering JupyterHub or Kubeflow Notebooks * Proficient with YAML, Helm, and Operator-based deployments * Experience with cloud platforms (Azure, or RedHat OpenShift)
Huntsville, AL · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Huntsville, AL · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
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 ...
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 ...
Ashburn, VA · On-site
$51.50 - $70.75/hr
Experience with MLOps services such as AWS Sagemaker, Kubeflow or MLflow. Experience with big data processing frameworks, preferably Apache Spark. Experience with container services such as AWS ECS ...
Ashburn, VA · On-site
$51.50 - $70.75/hr
Experience with MLOps services such as AWS Sagemaker, Kubeflow or MLflow. Experience with big data processing frameworks, preferably Apache Spark. Experience with container services such as AWS ECS ...
Dayton, OH · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Dayton, OH · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Dayton, OH · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Dayton, OH · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Huntsville, AL · On-site +1
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Huntsville, AL · On-site +1
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Washington, DC · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Washington, DC · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Washington, DC · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
Washington, DC · Remote
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...
$51.50 - $71/hr
Experience with MLOps services such as AWS Sagemaker, Kubeflow or MLflow. Experience with big data processing frameworks, preferably Apache Spark. Experience with container services such as AWS ECS ...
$51.50 - $71/hr
Experience with MLOps services such as AWS Sagemaker, Kubeflow or MLflow. Experience with big data processing frameworks, preferably Apache Spark. Experience with container services such as AWS ECS ...
$135.1K is the 25th percentile. Wages below this are outliers.
$129.5K - $136.6K
32% of jobs
The median wage is $140.4K / yr.
$136.6K - $143.8K
35% of jobs
$145.7K is the 75th percentile. Wages above this are outliers.
$143.8K - $150.9K
33% of jobs
$150.9K - $158K
1% of jobs
$158K - $165.2K
0% of jobs
$165.2K - $172.3K
0% of jobs
$172.3K - $179.5K
0% of jobs
$179.5K - $186.6K
0% of jobs
$186.6K - $193.7K
0% of jobs
$193.7K - $200.9K
0% of jobs
$200.9K - $208K
0% of jobs
$129.5K
$157K
$208K
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.
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.
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.
$109K - $148K/yr
Other
Posted 4 days ago
Bachelor''''''''s degree in Computer Science, Data Science, Engineering, or a related field
15+ years of experience in software or data engineering, with at least 4 years focused on ML systems or MLOps in a production environment.
Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units.
Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
Hands-on experience with MLOps tooling: Kubeflow, MLflow, Airflow, or equivalent.
Experience with cloud-native data and ML services on AWS.
Working knowledge of LLMs, prompt engineering, and RAG architecture patterns.
Experience with containerization and orchestration (Docker, Kubernetes).
Strong understanding of data engineering concepts: pipelines, feature stores, data quality, and lineage.
