Overview
Hybrid
Depends on Experience
Full Time
Skills
Machine Learning (ML)
Kubernetes
SQL
Python
Azure Databricks
Job Details
We are seeking a Machine Learning Engineer with strong hands-on experience in Azure Synapse and Medallion Architecture to join our team in San Antonio, TX. The ideal candidate will have a solid background in building scalable ML pipelines, working in cloud environments, and integrating data platforms to support model training and analytics workflows.
Key Responsibilities:
- Design and implement end-to-end ML workflows in Azure Cloud.
- Use Azure Synapse for data preparation, transformation, and analytics.
- Leverage Medallion Architecture (Bronze/Silver/Gold layers) to organize and process large-scale datasets.
- Develop and deploy ML models using Python, PySpark, and MLOps best practices.
- Work with cross-functional teams to gather business requirements and deliver intelligent solutions.
- Optimize model performance and ensure scalable and reusable ML pipelines.
- Ensure security, versioning, and reproducibility across ML lifecycle.
Must-Have Skills:
- 7+ years in ML Engineering / Data Science roles
- Strong hands-on experience with:
- Azure Data Lake
- Azure Databricks
- Azure Data Factory (ADF)
- Medallion Architecture (Bronze/Silver/Gold layers)
- MLOps tools and processes (MLflow, Azure ML, CI/CD, monitoring)
- Expertise in Python, SQL, PySpark
- Experience in developing, deploying, and managing ML models in production
Nice to Have:
- Experience with Delta Lake
- Familiarity with real-time data pipelines
- Exposure to Power BI integration
- Knowledge of Azure DevOps, Docker, Kubernetes
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.