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Python / AWS Software Engineer III - AI/ML



Software Engineering, Data Science
Wilmington, DE, USA
Posted on Thursday, July 11, 2024

Job Description

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