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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 ...

New

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.

ClimateAi

Senior MLOps Engineer

San Francisco, CA

$170K - $200K/yr

The Role As a Senior MLOps Engineer, you will own the infrastructure and ML platform that powers ClimateAi's forecasting and risk products. You will design, build, and operate the cloud systems, data ...

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 ...

ClimateAi

Senior MLOps Engineer

San Francisco, CA · On-site

$170K - $200K/yr

The Role As a Senior MLOps Engineer, you will own the infrastructure and ML platform that powers ClimateAi's forecasting and risk products. You will design, build, and operate the cloud systems, data ...

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 ...

smart folks inc

MLOps Developer

Sunnyvale, CA · On-site

MLOPS Ray Developer Location: Austin, TX/ Sunnyvale, CA/ Remote Duration: Long-term * Deep understanding of Ray, Operate, monitor, and triage all aspects of our production and non-production ...

Cyber 1 Armor

Senior MLOps / LLMOps Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Senior MLOps / LLMOps Engineer Location : Milpitas 4 days onsite contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment ...

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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 job?

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 engineers make $300,000 a year?

Senior MLOps engineers with extensive experience, advanced skills in machine learning deployment, cloud platforms, and automation tools can earn $300,000 or more annually. High compensation is often associated with specialized expertise, leadership roles, and working in competitive tech environments.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, and MLOps engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in high-growth tech companies.

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 in the Mlops Engineer position, 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 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 July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

MLOps Engineer

Aivra Health LLC

San Francisco, CA • On-site

Other

Medical, Retirement, PTO

Posted 2 days ago

New

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)
 
 
 
 
 
 
 

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