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Lead software engineer - full stack ai/ml

London
Lead software engineer
Posted: 8 April
Offer description

Description As a Full Stack Software Engineer at JPMorgan Chase within the Corporate Sector - Data Center Services team, you would be 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: Implements creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code and collaborates with team members to ensure code quality and consistency. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Leads evaluation sessions with internal and external teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Design and deliver AI enabled features for Data Center Services, including time series anomaly detection, predictive capacity planning, ticket NLP, and knowledge retrieval. Participate in communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Contributes to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills: Formal training or certification on software engineering concepts and 5 years applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability. Advanced knowledge in frontend development with Angular. In-depth knowledge in state management leveraging NGRX. Skilled in designing and executing functional and integration tests for Angular applications. Beginner/Intermediate knowledge in frontend development with React. Advanced knowledge in backend development with NodeJS. Proficiency in all aspects of the Software Development Life Cycle. Proficiency in mock-up designs using tools such as Figma. Understanding of agile ceremonies such as Scrum, stand-ups, retrospectives, and sprint planning, fostering effective team collaboration and continuous improvement. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Nice-to-have qualifications, capabilities, and skills: Computer vision experience (OpenCV and deep learning frameworks). Model evaluation frameworks and automated test sets for both classical ML and LLMs. Understanding of Event Driven Architecture (Kafka). Knowledge of MySQL.

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