Lead Software Engineer AIML Solutions
Lead Software Engineer AIML Solutions
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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 Data Technology youare an integral part of an agile team that works to enhance build and deliver trusted marketleading 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
- Develops secure highquality 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 outcomesoriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
- Enable theGen AI platform and implement the Gen AI Use cases LLM fine tuning and multi agent orchestration
- Communicate technical concepts and solutions effectively across all levels of the organization.
- Lead the design and development of our AI/ML platform ensuring robustness scalability and high performance.
Required Qualifications Capabilities and Skills
- Formal training or certification on software engineering concepts and 5 years of applied experience
- Extensive practical experience with Python AWS cloud services including EKS EMR ECS and DynamoDB.
- Experience in DataBricks ML lifecycle development.
- Advanced knowledge in software engineering AI/ML machine learning operations (MLOps) and data governance.
- Demonstrated prior experience in leading complex projects including system design testing and ensuring operational stability.
- Expertise in computer science computer engineering mathematics or a related technical field.
- Understanding of large language model (LLM) approaches such as RetrievalAugmented Generation (RAG)
- Realtime model serving experience with Seldon Ray
Employment Type
Full-Time
