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Machine Learning Ops Data Engineer

Charles Schwab

Southlake, Texas • Today

Full-time

USD 102,000.00 - 185,000.00 per year

AI/ML Ops and Data Engineer

Charles Schwab

Southlake, Texas • Today

Full-time

USD 134,800.00 - 195,000.00 per year

AI ML Ops Enterprise Architect at ONSITE- Woodland Hills, CA or Remote

Cynosure Technologies LLC

Remote • 10d ago

Easy Apply

Third Party, Contract

Depends on Experience

Machine Learning Engineer

TeleWorld Solutions

Plano, Texas • Today

Full-time

Machine Learning Engineer

Quarterhill

Frisco, Texas • Today

Full-time

AI / ML Ops Architect

K&K Global Talent Solutions

Remote • Today

Easy Apply

Full-time

Depends on Experience

ML Ops Engineer

Sahi Softtech

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

Principal AI / Machine Learning Data Engineer - Remote or hybrid from MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Machine Learning Software Engineer II

Cambium Learning Group, Inc.

Remote or Dallas, Texas • Today

Full-time

Staff Machine Learning Engineer

Boulevard

Remote • Today

Full-time

USD 136,000.00 - 171,000.00 per year

Machine Learning Engineer

Sift Science, Inc

Remote or San Francisco, California • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Machine Learning Engineer

Lyntris Inc

Remote • Today

Full-time

Machine Learning Engineer

Takeda pharmaceutical

Remote • Today

Full-time

USD 160,000.00 per year

Senior Machine Learning Engineer

Amgen Inc

Remote • Today

Full-time

USD 156,190.05 - 211,315.95 per year

Staff Machine Learning Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 220,000.00 - 280,000.00 per year

Senior Machine Learning Engineer

OneStudyTeam

Remote • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Senior Staff Machine Learning Platform Engineer

Faire

Remote • Today

Full-time

USD 295,000.00 - 405,500.00 per year

Machine Learning Engineer

DPP Tech, Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

Remote • Today

Full-time

USD 165,000.00 - 195,000.00 per year

Principal Machine Learning Engineer, Data Mining

Motional

Remote or Boston, Massachusetts • Today

Full-time

USD 240,000.00 - 330,000.00 per year

Sr Engineers, Machine Learning

T-Mobile

Frisco, Texas • Today

Full-time

USD 146,700.00 - 156,700.00 per year

Machine Learning Engineer

Twilio

Remote • Today

Full-time

USD 155,520.00 - 194,400.00 per year

Job Details

Skills

Creative Problem Solving
Finance
Collaboration
Vertex
GCS
Data Flow
Python
SQL
Data Modeling
Analytics
Scalability
Continuous Integration
Continuous Delivery
Docker
Git
Workflow
Automated Testing
Cloud Security
Reliability Engineering
Incident Management
Training
Software Engineering
IT Management
Cloud Computing
Streaming
Design Review
Artificial Intelligence
Machine Learning (ML)
Use Cases
Google Cloud
Google Cloud Platform
Test Strategy
Data Quality
Mentorship
Machine Learning Operations (ML Ops)

Creative Problem Solving
Finance
Collaboration
Vertex
GCS
Data Flow
Python
SQL
Data Modeling
Analytics
Scalability
Continuous Integration
Continuous Delivery
Docker
Git
Workflow
Automated Testing
Cloud Security
Reliability Engineering
Incident Management
Training
Software Engineering
IT Management
Cloud Computing
Streaming
Design Review
Artificial Intelligence
Machine Learning (ML)
Use Cases
Google Cloud
Google Cloud Platform
Test Strategy
Data Quality
Mentorship
Machine Learning Operations (ML Ops)

Summary

Your Opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Hands-on technical lead responsible for taking AI/ML projects from development to production in Google Cloud Platform (Google Cloud Platform). This role owns architecture, implementation, deployment, and operations.

Required Skills

Expert-level Google Cloud experience, especially services used for AI/ML use cases (e.g., BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run/GKE, Composer/Airflow, IAM, Cloud Monitoring/Logging)
Expert Python for production-grade data and backend engineering
Strong SQL and data modeling for analytics, scalability, and operational workloads
Strong CI/CD and containerization skills (Docker, Git workflows, automated testing, release pipelines)
Solid cloud security and governance practices (IAM, secrets, least privilege, auditability)
Strong observability and reliability engineering skills (monitoring, alerting, incident response, SLAs/SLOs)
Fundamental understanding of AI/ML lifecycle/model development needed to productionize AI/ML systems (training/serving integration, model versioning, pipeline monitoring support)

What you have

Required Work Experience

8+ years in data/software engineering, including 2+ years in technical leadership
Proven track record delivering production grade AI/ML use cases on Google Cloud Platform or other cloud providers
Experience building and operating scalable batch/streaming pipelines
Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
Demonstrated support of critical systems in production
Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes

Core Responsibilities

Design and build production-ready AI/ML powered, security related use cases on Google Cloud Platform
Lead end-to-end deployment from prototype to production with clear quality gates
Understand, document, and lead the resolution of technical debts
Implement coding standards, test strategy, data quality checks, alerting mechanisms, and operational runbooks
Ensure platform reliability, security, and cost efficiency
Mentor the MLOps and data engineers while remaining hands-on in code and delivery

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: 90989465
Position Id: 65cb6bcebd32aabacaf11937674d16e9
Posted 30+ days ago

Fitment

Dice Job Match Score™

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Similar Jobs

AI/ML Ops and Data Engineer

Southlake, Texas

•

Today

Your Opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Hands-on technical lead responsible for taking AI/ML projects from development to production in Google Cloud Platform (

Full-time

USD 134,800.00 - 195,000.00 per year

Sr. AI Platform Engineer HYBRID

Richardson, Texas

•

Today

Overview This Senior Engineer turns RealPage's responsible agentic factory strategy into repeatable infrastructure, automated delivery pipelines, production-grade operating practices, and clear engineering standards. The role blends hands-on AI platform delivery with governance, observability, secure deployment, and mentoring across technical teams. Responsibilities Core Responsibilities Define standards-based deployment patterns for responsible AI agents, reusable platform capabilities, and

Full-time

USD 105,800.00 - 180,200.00 per year

Senior AI/ML Data Engineer

Frisco, Texas

•

Today

Company Description Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords. We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth,

Full-time

Sr AI Platform Engineer

Richardson, Texas

•

Today

Job Description Senior Lead AI Platform EngineerBuild the Future of Enterprise AI Platforms In this role you'll build an enterprise AI Platform from the ground up that will enable internal engineering teams to securely deploy and operate agentic AI workloads at scale. The focus is on platform engineering, cloud infrastructure, Kubernetes, DevOps, and end-to-end automation rather than developing AI models. In this role, you'll design and automate production-ready AI infrastructure, establish eng

Full-time

USD 180,000.00 per year

Job Details

Skills

Creative Problem Solving
Finance
Collaboration
Vertex
GCS
Data Flow
Python
SQL
Data Modeling
Analytics
Scalability
Continuous Integration
Continuous Delivery
Docker
Git
Workflow
Automated Testing
Cloud Security
Reliability Engineering
Incident Management
Training
Software Engineering
IT Management
Cloud Computing
Streaming
Design Review
Artificial Intelligence
Machine Learning (ML)
Use Cases
Google Cloud
Google Cloud Platform
Test Strategy
Data Quality
Mentorship
Machine Learning Operations (ML Ops)

Creative Problem Solving
Finance
Collaboration
Vertex
GCS
Data Flow
Python
SQL
Data Modeling
Analytics
Scalability
Continuous Integration
Continuous Delivery
Docker
Git
Workflow
Automated Testing
Cloud Security
Reliability Engineering
Incident Management
Training
Software Engineering
IT Management
Cloud Computing
Streaming
Design Review
Artificial Intelligence
Machine Learning (ML)
Use Cases
Google Cloud
Google Cloud Platform
Test Strategy
Data Quality
Mentorship
Machine Learning Operations (ML Ops)

Summary

Expert-level Google Cloud experience, especially services used for AI/ML use cases (e.g., BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run/GKE, Composer/Airflow, IAM, Cloud Monitoring/Logging)
Expert Python for production-grade data and backend engineering
Strong SQL and data modeling for analytics, scalability, and operational workloads
Strong CI/CD and containerization skills (Docker, Git workflows, automated testing, release pipelines)
Solid cloud security and governance practices (IAM, secrets, least privilege, auditability)
Strong observability and reliability engineering skills (monitoring, alerting, incident response, SLAs/SLOs)
Fundamental understanding of AI/ML lifecycle/model development needed to productionize AI/ML systems (training/serving integration, model versioning, pipeline monitoring support)

What you have

Required Work Experience

8+ years in data/software engineering, including 2+ years in technical leadership
Proven track record delivering production grade AI/ML use cases on Google Cloud Platform or other cloud providers
Experience building and operating scalable batch/streaming pipelines
Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
Demonstrated support of critical systems in production
Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes

Core Responsibilities

Design and build production-ready AI/ML powered, security related use cases on Google Cloud Platform
Lead end-to-end deployment from prototype to production with clear quality gates
Understand, document, and lead the resolution of technical debts
Implement coding standards, test strategy, data quality checks, alerting mechanisms, and operational runbooks
Ensure platform reliability, security, and cost efficiency
Mentor the MLOps and data engineers while remaining hands-on in code and delivery

Dice Id: 90989465
Position Id: 65cb6bcebd32aabacaf11937674d16e9
Posted 30+ days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI/ML Ops and Data Engineer

Southlake, Texas

•

Today

Full-time

USD 134,800.00 - 195,000.00 per year

Sr. AI Platform Engineer HYBRID

Richardson, Texas

•

Today

Full-time

USD 105,800.00 - 180,200.00 per year

Senior AI/ML Data Engineer

Frisco, Texas

•

Today

Full-time

Sr AI Platform Engineer

Richardson, Texas

•

Today

Full-time

USD 180,000.00 per year