Software Engineer III Machine Learning Platform at JPMorganChase

DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III (Machine Learning Platform Engineer) at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business you serve as a seasoned member of an agile team focused on building scaling and maintaining robust machine learning platforms. You will design and deliver trusted market-leading infrastructure and tools that empower data scientists and ML engineers to develop deploy and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firms business objectives and drive innovation in ML platform capabilities.Job responsibilitiesDesign build and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.Develop and optimize tools for model training deployment monitoring and lifecycle management.Integrate data engineering feature management and model serving capabilities into unified ML platform solutions.Implement secure high-quality production code for platform services APIs and automation pipelines.Collaborate with data scientists ML engineers and product teams to understand requirements and deliver platform features that accelerate ML development and operations.Ensure platform reliability scalability and performance through proactive monitoring troubleshooting and continuous improvement.Produce architecture and design artifacts for platform components ensuring alignment with enterprise standards and best practices.Automate infrastructure provisioning configuration and CI/CD pipelines for ML platform services.Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.Required qualifications capabilities and skillsFormal training or certification on software engineering concepts and 3 years applied experienceHands-on experience building deploying and maintaining machine learning platforms or infrastructureProficiency in Python and one or more ML frameworks (e.g. TensorFlow PyTorch Scikit-learn) Experience with data processing frameworks and tools (e.g. Spark Pandas SQL) Practical experience with cloud-based ML platforms (e.g. AWS SageMaker GCP AI Platform Azure ML) or on-prem ML infrastructureStrong understanding of MLOps practices including CI/CD for ML model versioning and monitoringExperience developing APIs and platform services for ML workflows Solid knowledge of the software development life cycle and agile methodologies Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives Preferred qualifications capabilities and skillsFamiliarity with Databricks for scalable data engineering and ML platform integrationExperience working with Snowflake for cloud-based data warehousing and analyticsExposure to Snorkel AI for programmatic data labeling and training data managementExperience with containerization and orchestration tools (e.g. Docker Kubernetes Airflow)Familiarity with feature stores model registries and ML metadata managementExperience with infrastructure-as-code tools (e.g. Terraform CloudFormation)Experience with RESTful APIs and microservices architecturesFEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries. Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 133000 - 185000