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 Frameworks and Big Data technologies such as Hadoop. Strong experience in Python programming language with Machine Learning library and ecosystem experience ( Pandas, Numpy, boto3 etc) Experience working with databases such as Cassandra, MongoDB, DynamoDB or Teradata Experience with Unix and Shell scripting Comfortable working in an Agile and collaborative environment.