Machine Learning - Lead Software Engineer

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you are 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 firm’s 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

Preferred qualifications, capabilities, and skills

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