We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Python / AWS Software Engineer III- AI / ML at JPMorgan Chase within the Corporate Sector, Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Advanced experience in Python and distributed computing frameworks such as PySpark
• Experience in setting up Machine Learning platform infrastructure and deploying to the cloud to develop and train machine learning models
• Hands-on experience and solid understanding of machine learning methods and MLOps, deploying and scaling ML and AI Models on Public cloud services
• Hands-on experience with AWS cloud-based application development and infrastructure - EC2,EMR, EKS
• Experience in designing and building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR, S3 to facilitate ML training
• Analyzing and evaluating the ongoing performance of developed models
• Overall knowledge of the Model Development Life
• AWS cost monitoring and optimization, S3 lifecycle policy, Data archival and retention,

Preferred qualifications, capabilities, and skills

• Familiarity with ML algorithms - Xgboost, CNN, RNN