Senior ML Ops Engineer: Build & Scale ML Pipelines

Expand Energy Corporation; Oklahoma City (OK); On-site; USD 120,000 - 180,000; Full time

Job summary

Expand Energy is seeking a Sr. ML Ops Engineer to build and operate platforms, pipelines, and standards for ML models and data products.

The role requires leading communication with business customers and cross-functional IT staff to support ML delivery and analytics initiatives. The candidate will collaborate with Business Stakeholders, Data Engineers, and Software Engineers to define requirements and implement scalable ML pipelines, optimize deployment, monitoring, and lifecycle management in

Qualifications

• Minimum 5–8 years related work experience in ML/AI platforms.
• Proven experience building and operating production ML systems.
• Strong programming and data engineering fundamentals.

Responsibilities

• Collaborate with cross-functional teams to identify requirements.
• Design, develop, and support MLops platforms and tools.
• Implement and maintain automated pipelines for model deployment and operation.
• Develop and maintain documentation for platforms and processes.
• Participate in code reviews, testing, and deployment following SDLC.

Skills

Python

SQL

Spark

MLOps

CI/CD

SDLC

Data modeling

Education

Bachelor’s degree in IT/CS

High school diploma or GED

Tools

Snowflake

Databricks

Job description

Expand Energy is seeking a Sr. ML Ops Engineer to build and operate platforms, pipelines, and standards for ML models and data products.

The role requires leading communication with business customers and cross-functional IT staff to support ML delivery and analytics initiatives. The candidate will collaborate with Business Stakeholders, Data Engineers, and Software Engineers to define requirements and implement scalable ML pipelines, optimize deployment, monitoring, and lifecycle management in