JPMorgan Lead Software Engineer - Machine Learning 

United States, Delaware, Wilmington 

450482692

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
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 5+ years applied experience
• Hands-on practical experience delivering 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, 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

• Modern and emerging technologies