ML Engineer II — Scale ML & Data Pipelines in Azure

7-Eleven, Inc; Irving (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

7-Eleven, Inc. is seeking a talented Machine Learning Engineer II to design, develop, and deploy scalable ML solutions as part of our digital initiatives.

You will collaborate with cross-functional teams to transform telemetry data and large datasets into actionable insights, leveraging Python, PySpark, and Azure-based technologies. The role emphasizes building robust data pipelines, ML models, MLOps practices, and clear communication of complex results to stakeholders across the business.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics or related field.
• 5+ years delivering big data and ML solutions in enterprise environments.
• Proficient in Python and PySpark; strong data modeling skills.
• Experience building, training, validating, and deploying ML models in cloud environments.

Responsibilities

• Design, develop, test, and deploy ML models and data-driven solutions from telemetry data.
• Build scalable data pipelines using Python, PySpark, and Azure cloud services.
• Process and analyze large structured and unstructured datasets for analytics.
• Collaborate with engineers, data scientists, and stakeholders to translate requirements into tech.
• Develop, tune, and evaluate ML models; implement MLOps for deployment and monitoring.
• Create visualizations and dashboards communicating insights to technical and non-technical audiences.
• Participate in code reviews and technical design discussions for continuous improvement.

Skills

Strong analytical skills

Problem-solving

Communication skills

Collaboration

Ownership & accountability

Education

Bachelors in CS/DS/Engineering/Math

Tools

Python

PySpark

Azure Databricks

Azure Data Factory (ADF)

Azure Kubernetes Service (AKS)

Git

Azure DevOps

Power BI

Tableau

Job description

7-Eleven, Inc. is seeking a talented Machine Learning Engineer II to design, develop, and deploy scalable ML solutions as part of our digital initiatives.

You will collaborate with cross-functional teams to transform telemetry data and large datasets into actionable insights, leveraging Python, PySpark, and Azure-based technologies. The role emphasizes building robust data pipelines, ML models, MLOps practices, and clear communication of complex results to stakeholders across the business.