AI ML Lead Software Engineer
AI ML Lead Software Engineer
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Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
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
- Collaborate with product managers to integrate machine learning capabilities into product requirements.
- Translate requirements into technical specifications and designs incorporating machine learning models.
- 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 / Machine Learning concepts and 5 years applied experience
- 5 years of Hands-on practical enterprise experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) Python and AWS deployment
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of CI/CD Application Resiliency Automation and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning)
- Practical cloud native experience in AWS
- Extensive experience in utilizing Terraform for infrastructure as code enabling efficient provisioning and management of cloud resources
- Leverage Spark for big data processing and analytics optimizing data workflows and enhancing performance in distributed computing environments
- Experience in building complex and scalable Software solutions on AWS
- Proficiency in building machine learning and pipelines that use Generative AI models on AWS
- Strong in programming using Python and should be able to scalable and optimized code
- Hands on experience in designing and building RAG pipelines
- Experience in Prompt Engineering Vector Database and AI Agents
- In-depth knowledge of the financial services industry and their IT systems
Employment Type
Full-Time
