Job Title: ML Engineer – Azure Synapse & Medallion Architecture Location: San Antonio, TX (Day 1 Onsite, 4 Days/Week) Contract Type: C2C Visa: All Visa Types Accepted Duration: 3 Year Job Description: 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