Software Engineer III - ML,Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer III at JPMorgan Chase within Consumer & Community Banking line of business, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Develops secure high-quality production code, and reviews and debugs code written by others


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


* Collaborate with cross-functional teams, including data scientists and software engineers, to understand model requirements and integrate them into applications


* Develop and implement strategies for deploying machine learning models into production, ensuring scalability, reliability, and efficiency


* Building ML Model Serving pipelines on AWS using Python/Pyspark code, tuning spark queries


* Design and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the testing, deployment, and updating of machine learning models


* Manage and optimize the infrastructure required for running machine learning models, including cloud services, AWS EMR cluster configurations


* Implement monitoring and logging solutions to track model performance, detect anomalies, and ensure models are operating as expected in production.


* Respond to incidents and troubleshoot issues related to model performance, data quality, and infrastructure


* Contribute to the group's knowledge base by finding new and valuable ways to approach problems and projects.

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering

* concepts and 3+ years applied experience


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Strong Python Programming Skills including Pandas,Numpy,Boto3 and Scikit-Learn.


* Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud:AWS, artificial intelligence, machine learning)


* Strong expertise in deploying and managing machine learning models in production environments


* Proficiency in building and maintaining CI/CD pipelines for machine learning workflows.


* Background with Machine Learning Fram...