ML Ops Engineer: Airflow & Python for Scalable Pipelines

A leading data solutions firm is seeking a Machine Learning Ops Engineer to tackle complex challenges in the oil and gas sector in Houston, TX. The ideal candidate will have over 5 years of experience in data engineering, strong proficiency in Python and SQL, and familiarity with Apache Airflow. This mid-senior level role involves designing data architectures, collaborating with teams, and automating workflows to enhance efficiency. Competitive salary range of $130,000.00 to $170,000.00 annually is offered. #J-18808-Ljbffr