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Remote Kubeflow Jobs (NOW HIRING)

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

Peraton

Al/ML Engineer (SME)

$104K - $166K/yr

This position is remote and requires an active Secret clearance. * AI/ML Engineer. Responsible for ... Kubeflow, Terraform/CloudFormation, EKS/GPU EC2, Prometheus/Grafana, ELK/OpenSearch, AWS Lake ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$80K - $108K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$80K - $108K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) * Infrastructure as ...

Computer Task Group, Inc

AI Native Developer

Whippany, NJ · On-site +1

$48 - $53/hr

Whippany, NJ (hybrid remote) Duration: 6 months An AI-Native Developer (or AI-Native Engineer ... Experience with DevOps and MLOps tools (MLFlow, Kubeflow). Key Characteristics * AI-Centric Mindset:

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Remote Kubeflow information

What is the difference between Remote Kubeflow vs Remote Data Scientist?

AspectRemote KubeflowRemote Data Scientist
Required CredentialsCloud certifications, Kubernetes, ML OpsStatistics, Machine Learning, Programming
Work EnvironmentCloud platforms, DevOps toolsData analysis, modeling, research
Industry UsageAI/ML deployment, MLOps teamsData analysis, predictive modeling

Remote Kubeflow focuses on deploying and managing ML workflows using Kubernetes, requiring cloud and DevOps skills. Remote Data Scientists analyze data, build models, and interpret results. While both roles involve machine learning, Remote Kubeflow emphasizes deployment and infrastructure, whereas Remote Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote Kubeflow Engineer, and why are they important?

To thrive as a Remote Kubeflow Engineer, you need strong expertise in machine learning, cloud computing, and container orchestration, typically supported by a degree in computer science or related fields. Proficiency with tools such as Kubeflow, Kubernetes, Docker, and cloud platforms like AWS, GCP, or Azure—as well as experience with CI/CD pipelines—is essential. Strong problem-solving skills, communication, and the ability to collaborate remotely are important soft skills for success. These skills ensure the effective deployment and management of scalable machine learning workflows in distributed, cloud-based environments.

What are some common challenges faced by professionals working in a remote Kubeflow engineer role?

Remote Kubeflow engineers often encounter challenges such as troubleshooting distributed machine learning pipelines without direct, on-premises access to infrastructure. Effective communication with data scientists, DevOps, and other stakeholders can also be more complex due to differing time zones and remote collaboration tools. Additionally, managing secure access and ensuring seamless deployment of ML workflows in cloud environments requires a strong understanding of both Kubernetes and Kubeflow. Overcoming these challenges typically involves proactive documentation, regular virtual meetings, and a collaborative approach to problem-solving.

What is a Remote Kubeflow job?

A Remote Kubeflow job refers to a role where professionals use Kubeflow, an open-source machine learning platform designed for Kubernetes, while working remotely. These jobs typically involve designing, deploying, and managing machine learning workflows on cloud or on-premises Kubernetes clusters. Responsibilities may include automating ML pipelines, optimizing model training, and collaborating with data scientists and engineers. Remote Kubeflow professionals usually need expertise in Kubernetes, Docker, Python, and machine learning concepts. The remote aspect allows them to perform these tasks from anywhere with reliable internet access.
More about Remote Kubeflow jobs
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Remote Kubeflow jobs near you
Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)

Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)

Saviance

Boston, MA • On-site, Remote

$113K - $155K/yr

Other

Posted 29 days ago

Job description

Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)
Location: Hybrid- Chennai, India (Every Thursday Onsite)
Duration: Full Time
About BigRio:
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.
About Job
We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM), which streamlines claims, billing, and payment processes for healthcare providers. In this role, you'll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.
About You
You're a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you're motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.
About the Team
Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.
Key Responsibilities
  • Identify opportunities to apply machine learning to RCM workflows.
  • Design, develop, and deploy ML-based production services.
  • Adhere to and advocate for best practices in model development and engineering.
  • Conduct rigorous testing and validation of models and code.
  • Contribute to the development of internal tools and team standards.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 3-5 years of hands-on experience building, evaluating, and deploying ML models.
  • Strong programming skills in Python, with proficiency in SQL and Unix environments.
  • Experience with deep learning and neural network architectures (preferred).
  • Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
  • Exposure to NLP or computer vision is a plus.
  • Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
  • Excellent communication skills, both written and verbal.
Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

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