Senior ML Platform Engineer – MLOps & Data Pipelines

Expand Energy; Spring (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading energy company in Texas is seeking a Senior Machine Learning Operations Specialist responsible for designing MLOps platforms and automating machine learning model pipelines. The ideal candidate will have expertise in Python and SQL, and experience in cloud-based architectures like Snowflake and Databricks. The role involves close collaboration with business stakeholders and cross-functional IT teams, ensuring effective communication and delivery of solutions in a dynamic environment.

Qualifications

• 5-8 years of related work experience in software engineering or data science.
• Strong problem-solving skills in production environments.
• Excellent communication and team collaboration skills.

Responsibilities

• Collaborate with cross-functional teams to define requirements.
• Develop and maintain automated MLOps pipelines.
• Evaluate and recommend tools for advanced analytics delivery.

Skills

Python

SQL

MLOps

Data modeling

ETL/ELT processes

Snowflake

Databricks

CI/CD

DevOps

Agile methodologies

Education

Bachelor’s degree in IT or related field

Tools

Cloud-based data platforms

Distributed data processing frameworks

Job description

A leading energy company in Texas is seeking a Senior Machine Learning Operations Specialist responsible for designing MLOps platforms and automating machine learning model pipelines. The ideal candidate will have expertise in Python and SQL, and experience in cloud-based architectures like Snowflake and Databricks. The role involves close collaboration with business stakeholders and cross-functional IT teams, ensuring effective communication and delivery of solutions in a dynamic environment.