Senior ML Platform Engineer

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

Job summary

Expand Energy Corporation in Oklahoma City is seeking a senior engineer to build and operate the platforms, pipelines, and standards that support ML models and data products throughout their lifecycle. You will lead communications with business customers and IT staff to enable effective ML deployments.

The role emphasizes strong Python and SQL skills, experience with Spark, MLOps environments, CI/CD, and cloud-based data platforms like Snowflake and Databricks, with collaboration across teams to

Qualifications

• Minimum: High school diploma or GED.
• Preferred: Bachelor’s degree in IT, MIS, Information Systems, CS or related field.

Responsibilities

• Collaborate with cross-functional teams to identify and define requirements.
• Design, develop, and support MLOps platforms and tools for data science activities.
• Implement and maintain automated pipelines for ML models and data products.
• Develop and maintain documentation for platforms and processes.
• Participate in code reviews, testing, and deployment following SDLC best practices.
• Evaluate tools and processes to enhance ML and analytics delivery.
• Share knowledge and promote consistent engineering and MLOps practices.

Skills

Python

SQL

Spark

MLOps

CI/CD

DevOps

SDLC

Agile

Problem solving

Communication

Education

High school diploma or GED

Bachelor’s degree in IT/MIS/Information Systems/Computer Science

Tools

Snowflake

Databricks

Job description

Expand Energy Corporation in Oklahoma City is seeking a senior engineer to build and operate the platforms, pipelines, and standards that support ML models and data products throughout their lifecycle. You will lead communications with business customers and IT staff to enable effective ML deployments.

The role emphasizes strong Python and SQL skills, experience with Spark, MLOps environments, CI/CD, and cloud-based data platforms like Snowflake and Databricks, with collaboration across teams to