About the role
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Job 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 Sr Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking - AIML Solutions technology, 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 firmâs business objectives..
Job Responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Team management, team mentoring, performance review and coaching.
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
- Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
- Maintain consistent code check-ins every sprint to ensure continuous integration and development.
- Executes using Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration.
- Communicate technical concepts and solutions effectively across all levels of the organization.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 10 + years of applied experience
- 5+ years of managing team experience
- Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS,
- Hands-on experience in AIML lifecycle development.
- Advanced knowledge in Generative AI, Agent development and the AI platform engineering
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