What are the responsibilities and job description for the Software Engineer III - AI/ML, Java and AWS position at Chase- Candidate Experience page?
Software Engineer III - AI / ML, Java and AWS
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
Proficient in coding in one or more languages such as Java and Python
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI / CD, Applicant Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In depth knowledge & expertise in Microservices, Service Oriented Architecture, Publisher / Subscriber and Messaging services
Expertise in building & deploying solutions on AWS, leveraging ECS, EC2, Lambda, SNS, SQS & Step Functions
Responsibilities
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
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
Keep abreast of advancements in technology and industry trends in the AI / ML space to be able to leverage the right stack for any given problem
Build engineering solutions as part a team that has been working on innovative initiatives for document extraction leveraging AI / ML on a very large, diverse data set
Keep a pulse on the job market with advanced job matching technology.
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