JobID: 210614454 Category: Software Engineering JobSchedule: Full time Posted Date: 2025-05-05T22:25:07+00:00 JobShift: Day Base Pay/Salary: Seattle,WA $152,000.00-$215,000.00 If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking-Core Platform Engineering, you will play a crucial role in our growing technology team, concentrating on providing prompt AI/ML solutions to cater to escalating developer and business needs. Collaborating closely with diverse teams, you will design, develop, and deploy Gen-AI-powered applications that improve developers and knowledge workers productivity. Job Responsibilities * Collaborate with product managers, architects, and software engineers to understand business requirements and translate them into technical solutions. * Design, develop, and deploy scalable platform applications for core platform engineering * Optimize and maintain existing AI/ML models to improve performance and accuracy. * Conduct data analysis and preprocessing to ensure high-quality input for RAG and model training. * Manage project prioritization and leading regular technology meetings with different stake holders * Participate in code reviews and contribute to a culture of continuous improvement and innovation. * Provide technical guidance and mentorship to global team members. Required qualifications, capabilities, and skills * Formal training or certification on Computer Science, Engineering, Mathematics concepts and 5+ years applied experience * Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successfully deployed models. * Proficiency in programming languages such as Python, R, or Java, with a focus on AI/ML libraries and frameworks Proficiency with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. * Strong understanding of machine learning algorithms, data structures, and software design principles. * Excellent problem-solving skills and the ability to work independently and as part of a team. * Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred qualifications, capabilities, and skills * Familiarity in Java full stack and DevOps practices and tools for continuous integration and deployment. * Experience with big data technologies (e.g., Hadoop, Spark) and real-time data processing. * Experience with data processing and analysis tools (e.g., Pandas, NumPy, SQL).