Machine Learning EngineerCovenant HR • Malvern, PA, United States
Machine Learning Engineer
Covenant HR • Malvern, PA, United States
4 hours ago
Job type
- Permanent
Job descriptionDesign, develop, and deploy machine learning models using Python, SQL, and Azure ML tools Automate training, scoring, and deployment workflows with Azure DevOps and ML pipelines Build and maintain ETL / ELT pipelines using Azure Data Factory and Synapse Support data preprocessing and feature engineering for scalable architecture Collaborate with data analysts, engineers, and risk teams to define data requirements Monitor model performance and ensure integration into production systems Implement data governance, security, and compliance best practices throughout ML lifecycle Utilize CI / CD pipelines for model deployment, versioning, and rollback Leverage Azure Functions, Logic Apps, and Event Hubs for automated data processes Optimize Azure ML and data resources for cost and performance efficiency Translate technical results into actionable insights for business stakeholders Maintain clear documentation for workflows, architecture, and procedures
Company – Our client is a mission-driven financial services organization known for innovation in the credit union and banking sectors. With a strong focus on data-driven decision-making and digital transformation, they provide industry-leading customer experiences and have earned recognition for their forward-thinking approach to technology and risk management.
Job Title – Machine Learning Engineer
Location – Malvern, PA (On-site)
Role Type – Direct Hire
Must Have Skills :
- 2-4 years of experience in data engineering, machine learning, or related roles
- Proficiency in Python and SQL
- Strong experience with Azure services : Azure Machine Learning, Synapse, Data Factory, and Data Lake
- Experience deploying machine learning models into production environments
- Background in MLOps and statistical modeling
Responsibilities and Job Details :
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Machine Learning Engineer • Malvern, PA, United States
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