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 :
Design, develop, and deploy machine learning models using Python, SQL, and Azure ML toolsAutomate training, scoring, and deployment workflows with Azure DevOps and ML pipelinesBuild and maintain ETL / ELT pipelines using Azure Data Factory and SynapseSupport data preprocessing and feature engineering for scalable architectureCollaborate with data analysts, engineers, and risk teams to define data requirementsMonitor model performance and ensure integration into production systemsImplement data governance, security, and compliance best practices throughout ML lifecycleUtilize CI / CD pipelines for model deployment, versioning, and rollbackLeverage Azure Functions, Logic Apps, and Event Hubs for automated data processesOptimize Azure ML and data resources for cost and performance efficiencyTranslate technical results into actionable insights for business stakeholdersMaintain clear documentation for workflows, architecture, and procedures