ZipRecruiter

Log In

1

Mlops Engineer Jobs in San Ramon, CA (NOW HIRING)

Aivra Health LLC

MLOps Engineer

San Francisco, CA · On-site

MLOps Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an experienced MLOps Engineer to build and manage scalable machine learning ...

Hirekeyz Inc

MLOps Engineer

San Francisco, CA · On-site

Role: MLOps Engineer Location: San Francisco, California Duration: Long Term Contract Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.

Tror AI for everyone

MLOPS Engineer

Concord, CA · On-site

Job Role: MLOPS Engineer Job Location: Concord, CA (100% Onsite) Job Type: Contract Key Responsibilities: * Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.

Cynet Systems

Senior AI/MLOPS Engineer

Pleasanton, CA · On-site

$75 - $80/hr

Senior AI/MLOPS Engineer Job Location: Pleasanton, CA Job Type: Contract Job Overview: Pay Range: $75hr - $80hr Requirement/Must Have: * 10+ years of experience in AI and MLOps. * Strong Python ...

Nace AI

Senior MLOps Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI's models from research to reliable, production-grade systems. Our infrastructure generates task-specific Small Language ...

Mercor

MLOps Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML framework-level topics . * Design challenging, domain-relevant ...

CYNET SYSTEMS

Senior​ AI/MLOPS Engineer

Pleasanton, CA · On-site

$75 - $80/hr

Pay Range: $75hr - $80hr Requirement/Must Have: * 10+ years of experience in AI and MLOps. * Strong Python programming skills. * Experience with machine learning frameworks (TensorFlow, PyTorch ...

CYNET SYSTEMS

Senior AI/MLOPS Engineer

Pleasanton, CA · On-site

$75 - $80/hr

Pay Range: $75hr - $80hr Requirement/Must Have: 10+ years of experience in AI and MLOps. Strong Python programming skills. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit ...

Zeitview

Senior MLOps Engineer I

San Francisco, CA · On-site +1

$123K - $169K/yr

As the Senior MLOps Engineer I, you will help turn the models built by our ML Scientists, Data Scientists, and Perception Engineers into reliable, production-grade services. You'll work on the ...

Zeitview

Senior MLOps Engineer I

San Francisco, CA · On-site

$123K - $169K/yr

As the Senior MLOps Engineer I, you will help turn the models built by our ML Scientists, Data Scientists, and Perception Engineers into reliable, production-grade services. You'll work on the ...

Intuitive

Sr MLOps Engineer

Sunnyvale, CA

$122K - $168K/yr

... DevOps, or MLOps roles, or equivalent practical experience * Demonstrated experience operating Kubernetes in production (networking, storage, RBAC, troubleshooting) * Strong scripting/automation ...

New

Intuitive Surgical

Sr MLOps Engineer

Sunnyvale, CA

$122K - $168K/yr

... DevOps, or MLOps roles, or equivalent practical experience * Demonstrated experience operating Kubernetes in production (networking, storage, RBAC, troubleshooting) * Strong scripting/automation ...

New

Intuitive

Sr MLOps Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

... DevOps, or MLOps roles, or equivalent practical experience * Demonstrated experience operating Kubernetes in production (networking, storage, RBAC, troubleshooting) * Strong scripting/automation ...

New

TRM Labs

Senior MLOps Engineer, LLMOps

San Francisco, CA · On-site

$200 - $220/hr

As a Senior MLOps Engineer with a focus in LLMOps , you'll be at the core of building and scaling the technical infrastructure for AI/ML systems. You will: * Build reusable CI/CD workflows for model ...

Stanford Health Care

DevOps Engineer

Newark, CA · On-site

$59.25 - $81.25/hr

A Brief Overview The MLOPs Engineer will play an integral role incorporating Artificial Intelligence (AI) within Stanford Health Care. The solutions will impact patient care, medical research, and ...

next page

Showing results 1-20

All JobsMlops Engineer JobsMlops Engineer Jobs in San Ramon, CA

Mlops Engineer information

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
What are popular job titles related to Mlops Engineer jobs in San Ramon, CA? For Mlops Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs in San Ramon, CA look for? The top searched job categories for Mlops Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Mlops Engineer jobs? Cities near San Ramon, CA with the most Mlops Engineer job openings:
Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 100% In-person job distribution.

MLOps Engineer

Aivra Health LLC

San Francisco, CA • On-site

Other

Medical, Retirement, PTO

Posted 24 days ago

Job description

MLOps Engineer

Location: San Francisco, CA, USA (Hybrid/Remote)

Job Type: Full-Time

About the Role

We are seeking an experienced MLOps Engineer to build and manage scalable machine learning infrastructure, automate model deployment pipelines, and ensure reliable operation of production AI systems. You will work closely with Data Scientists, ML Engineers, and DevOps teams to streamline the ML lifecycle.

Key Responsibilities
  • Build and maintain machine learning pipelines.
  • Deploy and monitor ML models in production.
  • Automate model training, testing, and deployment workflows.
  • Implement CI/CD pipelines for machine learning applications.
  • Monitor model performance and data drift.
  • Optimize cloud infrastructure for AI workloads.
  • Collaborate with Data Scientists and Software Engineers.
  • Maintain documentation and operational standards.
Required Qualifications
  • Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong Python programming skills.
  • Experience with cloud platforms and containerization.
  • Understanding of machine learning workflows and model deployment.
  • Strong problem-solving and communication skills.
Preferred Skills
  • Python
  • MLflow
  • Kubeflow
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • Google Cloud Platform (Google Cloud Platform)
  • TensorFlow
  • PyTorch
  • Airflow
  • Jenkins
  • Terraform
  • Git
  • CI/CD
  • Linux
Benefits
  • Health Insurance
  • Paid Time Off
  • Flexible Work Schedule
  • Learning & Certification Support
  • 401(k)
  • Career Growth Opportunities
Visa Authorization Questions (Use for All Roles)
  1. Are you legally authorized to work in the United States?
    • Yes
    • No
  2. Will you now or in the future require employer sponsorship for employment visa status (e.g., H-1B, TN, etc.)?
    • Yes
    • No
  3. What is your current work authorization status?
    • U.S. Citizen
    • Permanent Resident ()
    • H-1B
    • H-4 EAD
    • TN Visa
    • L-2 EAD
    • Other (Please Specify)
 
 
 
 
 
 
 

Apply