ML Engineer II: Scale Data Pipelines & Deploy Models

7-Eleven; Irving (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

7-Eleven is seeking a talented Machine Learning Engineer to design, develop, and deploy scalable ML solutions that drive business value across digital initiatives. As an ML Engineer II, you will collaborate with cross-functional teams and implement data-driven insights from telemetry and large datasets.

Apply your Python, PySpark, Azure Databricks, and cloud experience to build robust data pipelines, ML models, MLOps practices, and compelling visualizations for diverse stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• 5+ years of experience delivering big data and machine learning solutions in enterprise environments.
• Strong programming experience in Python and PySpark.
• Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
• Experience building, training, validating, and deploying machine learning models.
• Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
• Experience working with large-scale datasets and cloud-native architectures.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, test, and deploy machine learning models and data-driven solutions that transform store equipment telemetry data into actionable insights.
• Work in enterprise environments to build and optimize scalable data pipelines using Python, PySpark, and Azure-based technologies.
• Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
• Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions.
• Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
• Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
• Create visualizations, dashboards, and presentations to communicate insights and recommendations to technical and non-technical audiences.
• Participate in code reviews, technical design discussions, and continuous improvement initiatives.

Skills

Python

PySpark

Big data

Communication

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics

Tools

Azure Databricks

Azure Data Factory

Azure Kubernetes Service

Git

Azure DevOps

Job description

7-Eleven is seeking a talented Machine Learning Engineer to design, develop, and deploy scalable ML solutions that drive business value across digital initiatives. As an ML Engineer II, you will collaborate with cross-functional teams and implement data-driven insights from telemetry and large datasets.

Apply your Python, PySpark, Azure Databricks, and cloud experience to build robust data pipelines, ML models, MLOps practices, and compelling visualizations for diverse stakeholders.