What are the responsibilities and job description for the Sr Lead Software Engineer - Python, AI/ML position at JPMorgan Chase?
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As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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
- 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, opportunity, inclusion, and respect
- Developing AI/ML solutions to address impactful business needs,
- Working with other team members to productionize end-to-end AI/ML solutions,
- Engaging in research and development of innovative relevant solutions,
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Advanced proficiency in one or more programming languages, including Python.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as 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, mobile, etc.)
- Practical cloud native experience
- Solid coding level in Python, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
- Experience in the application of AI/ML to a relevant field,
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
- Good experience in natural language processing (NLP) and its applications.
Preferred qualifications, capabilities, and skills
- In-depth knowledge of the financial services industry and their IT systems
- Proficient in all aspects of the Software Development Life Cycle