JPMorgan Machine Learning/Python Lead Software Engineer 

United States, Delaware, Wilmington 

228861091

Job responsibilities

• Learn about and understand our supported businesses in order to drive practical and successful solution
• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proficient in coding in one or more languages
• 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, 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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on practical experience in system design, application development, testing, and operational stability
• Overall knowledge of the Model Development Life Cycle

Preferred qualifications, capabilities, and skills

• Practical cloud native experience
• In-depth knowledge of the financial services industry and their IT systems