Azure Kubernetes Service Developer Jobs

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Today

7-Eleven Irving, TX

Irving, TX

Today

Full time Ai Ml Artificial Intelligence Azure Data Factory

Machine Learning Engineer II role focused on turning store telemetry and large datasets into scalable, actionable machine learning insights.

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

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
5+ years delivering big data and machine learning solutions in enterprise environments.
Strong programming background 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.

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

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.

Clustering and segmentation techniques.
Generalized Linear Models (GLM), Linear Regression, and 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.

Ability to work effectively in a fast-paced, collaborative environment.
Strong ownership mindset with a commitment to high-quality delivery.
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)

Experience: 5 years minimum

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