Azure Kubernetes Service Data Jobs

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Today

Machine Learning Engineer II

7-Eleven Irving, TX

Irving, TX

Today

Full time Ai Ml Artificial Intelligence Azure Data Factory

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Job Description

Use machine learning to turn store telemetry into practical, data-driven outcomes. In this onsite role in Irving, TX, you will design, develop, test, and deploy scalable ML solutions using big data and Azure-based platforms. The work focuses on transforming equipment signals and large datasets into actionable insights that support analytics and decision-making across the business.

Responsibilities

Design, develop, test, and deploy machine learning models and data-driven solutions that convert store equipment telemetry into actionable insights.
Build and optimize scalable data pipelines in enterprise environments using Python, PySpark, and Azure 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 requirements into technical implementations.
Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
Apply MLOps best practices for deployment, monitoring, and model lifecycle management.
Create visualizations, dashboards, and presentation materials to communicate insights and recommendations to both technical and non-technical audiences.
Participate in code reviews, technical design discussions, and continuous improvement efforts.

Requirements

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.

Technologies

Python, PySpark
Azure, Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS)
Git, Azure DevOps
Power BI, Tableau

Preferred Qualifications

Experience deploying and operationalizing machine learning models in Azure Databricks.
Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
Experience working with equipment telemetry data or on equipment maintenance projects.
Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise

Clustering and segmentation techniques.
Generalized Linear Models (GLM), Linear Regression, Logistic Regression.
Decision Trees and Random Forests.
Gradient boosting techniques including XGBoost.
K-Nearest Neighbors (KNN), Support Vector Machines (SVM).
Artificial Neural Networks (ANN) and deep learning concepts.
Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors

Ability to work effectively in a fast-paced, collaborative environment.
Strong ownership mindset and commitment to delivering high-quality solutions.
Ability to communicate complex technical concepts to diverse stakeholder groups.
Passion for continuous learning and innovation in machine learning and cloud technologies.

Location: Irving, TX (onsite)

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