MLOps Engineer

San Francisco, CA, US • Posted 1 day ago • Updated 1 day ago
Full Time
No Travel Required
Able to Sponsor
On-site
$140,000 - $200,000/yr
Company Branding Image
Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Job Details

Skills

  • Artificial Intelligence
  • Authorization
  • Computer Science
  • Cloud Computing
  • Collaboration
  • Continuous Integration
  • Data Science
  • Communication
  • Conflict Resolution
  • Continuous Delivery
  • DevOps
  • Documentation
  • Employment Authorization
  • Good Clinical Practice
  • IaaS
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Testing
  • Management
  • Python
  • Problem Solving
  • Google Cloud Platform
  • Training
  • Workflow

Summary

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)
 
 
 
 
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91173095
  • Position Id: 9026875
  • Posted 1 day ago

Company Info

About Aivra Health LLC

In American healthcare, even the best-run practices lose valuable hours to insurance forms, coding errors, and claim follow-ups. Aivra Health was founded to change that.

Our journey began with one clear mission: to give healthcare providers back their time by managing the financial side of medicine with precision, transparency, and care. From small private clinics to large multi-specialty practices, we’ve built a system that gets providers paid faster, keeps them compliant, and makes the revenue cycle run without friction.

We’re more than a billing service — we’re a partner in your practice’s success.

About_Company_OneAbout_Company_Two
Contact the job poster
YP

Yogesh Patel

Recruiter @ Aivra Health LLC
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

San Francisco, California

Today

Easy Apply

Full-time

140,000 - 190,000

San Jose, California

Today

Easy Apply

Full-time

140,000 - 190,000

California City, California

3d ago

Easy Apply

Full-time

140,000 - 190,000

California City, California

Today

Easy Apply

Full-time

140,000 - 190,000

Search all similar jobs