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Kubeflow Engineer Jobs (NOW HIRING)

MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Requiredโ€‚Skillsโ€‚f orโ€‚theโ€‚MLOpsโ€‚Engineer: -โ€‚Bachelor'sโ€‚plusโ€‚9+โ€‚yearsโ€‚ofโ€‚experience,โ€‚Master ...

Google Cloud Platform, that utilize Big Query, Kubeflow and Python language, and is looking for AI Platform Engineer with a passion to creatively solve scalability, deployments and development ...

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 ...

Google Cloud Platform, that utilize Big Query, Kubeflow and Python language, and is looking for AI Platform Engineer with a passion to creatively solve scalability, deployments and development ...

MLOps Engineer Location: Grapevine, TX & Dallas, TX - (Hybrid) Duration: 6+ Months Contract Key ... Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting. With Regards, Chanakya | Sr. IT ...

Data Engineer

Suitland, MD ยท On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Kubeflow. * Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ...

New

Data Engineer

Suitland, MD ยท On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... or Kubeflow. * Monitoring & Troubleshooting : Monitor data pipeline health, troubleshoot issues ...

Data Engineer

Suitland, MD ยท On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... MLflow, or Kubeflow. โ€ข Monitor data pipeline health, troubleshoot issues, and ensure data ...

Data Engineer

Suitland, MD ยท On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Kubeflow. * Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ...

New

Lead Engineer- Cloud Product

Alpharetta, GA ยท On-site

$100K - $131K/yr

Lead Engineer- Cloud Product Location: Berkeley Heights, Alpharetta (5 Days Onsite) Job Type ... tools (Kubeflow, MLflow, Vertex AI Pipelines). * Proven record developing and deploying secure ...

Data Engineer

Suitland, MD ยท On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Kubeflow. * Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ...

New

AI ENGINEER

Reston, VA ยท On-site

Experience with MLOps tools (e.g., MLflow, Kubeflow). * Knowledge of big data technologies (Spark ... Strong programming skills in Python, R, or Java. * Hands-on experience with machine learning ...

AI/ML Engineer

Plano, TX ยท On-site

$109K - $131K/yr

AI/ML Engineer ?? Location: Plano, TX (Hybrid) ?? Duration: Long-Term Contract Client: EmergerTech ... Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI. * Experience ...

Senior AI/ML Engineer

Manhattan, NY ยท On-site

$115K - $158K/yr

Knowledge of model serving frameworks such as MLflow, Kubeflow, Ray Serve, or NVIDIA Triton. * Experience with data engineering technologies such as Spark, Kafka, Databricks, or Snowflake.

New

As an AI/ML Engineer at Softek, you will develop and deploy machine learning models that power our ... Experience with MLOps tools (MLflow, Kubeflow, or similar) * Prior work in federal or regulated ...

Showing results 21-40

Kubeflow Engineer information

What is the difference between Kubeflow Engineer vs Data Engineer?

AspectKubeflow EngineerData Engineer
Required SkillsContainerization, Kubernetes, ML workflows, PythonSQL, ETL, data modeling, Python/Java
Work EnvironmentCloud-based, AI/ML projects, DevOps toolsData pipelines, databases, big data platforms
Industry UsageAI/ML deployment, cloud servicesData management, analytics, business intelligence

While both roles require Python and cloud familiarity, a Kubeflow Engineer specializes in deploying machine learning workflows on Kubernetes, whereas a Data Engineer focuses on building data pipelines and managing large datasets. Understanding these differences helps employers and candidates target the right skills for each role.

What are popular job titles related to Kubeflow Engineer jobs?

For Kubeflow Engineer jobs, the most frequently searched job titles are:

Infographic showing various Kubeflow Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Site Reliability Engineer SRE ML platform

Austin, TX โ€ข On-site

Donato Technologies, Inc
IT Servicesย โ€ขย 51 - 200 employees

$56 - $60/hr

Contractor

Re-posted 12 days ago


Job description

Title: Site Reliability Engineer SRE – ML platform
Location: Austin, TX OR Sunnyvale, CA
Type: FTC 

Responsibilities:

  • Continuous  Deployment using GitHub Actions, Flux, Kustomize
  • Design and implement cloud solutions, build MLOps on cloud AWS
  • Data science model containerization, deployment using docker, VLLM, Kubernetes
  • Communicate with a team of data scientists, data engineers and architects, document the processes
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
  • Knowledge of ML models and LLM

Qualifications:

  • 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.
  • Good understanding of Apache SOLR.
  • Proficient with Linux administration.
  • Knowledge of ML models and LLM.
  • Ability to understand tools used by data scientists and experience with software development and test automation
  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)
  • Experience working with cloud computing and database systems
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience developing and maintaining ML systems built with open-source tools
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes
  • Experience developing containers and Kubernetes in cloud computing environments
  • Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
  • Ability to translate business needs to technical requirements
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Exposure to machine learning methodology and best practices
  • Good communication skills and ability to work in a team

Note: Focus is to have 60% SRE and 40% ML Ops…

Skill Area

Includes

Weight (%)

Platform Reliability & Containerization

Kubernetes, Docker, Microservices, Linux

30%

MLOps & AWS Cloud

Model deployment, versioning, monitoring, AWS (SageMaker, S3, Lambda, EKS)

25%

CI/CD & GitOps

GitHub Actions, Flux

15%

Monitoring & Observability

Splunk, Grafana, Prometheus, performance tracking

15%

Integration & Collaboration

Python scripting, API integrations, Apache Solr, LLM awareness, teamwork with data scientists & engineers

15%