Lead Software Engineer – Machine Learning
| Company | JP Morgan Chase |
|---|---|
| Location | Ohio, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Formal training or certification on Software Engineering and 5+ years applied experience
- Formal training or certification on 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
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience in AWS
- Experience with Terraform and Spark
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
Preferred Qualifications
- 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