Lead Software Engineer

2 days ago

Mumbai, India JP Morgan Chase & Co. Full time

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead AI/ML Product Manager & Engineer at JPMorgan Chase within the Payments Technology team, you will play a crucial role in our agile team, designing and delivering secure, stable, and high-quality ML/GenAI technology products. You will promote the product vision and strategy while implementing critical AI technology solutions across technical domains and business functions, supporting the firm's business objectives. Job Responsibilities - Defines product vision, strategy, and roadmap for AI/ML initiatives in Payments Technology. - Executes software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or break down technical problems. - Creates secure and high-quality production-level code and maintain algorithms that run synchronously with appropriate systems. - Produces architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. - Gathers, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems. - Identifies hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture. - Collaborates with engineering, data science, and business stakeholders to prioritize features and deliver solutions. - Manages product lifecycle from ideation to launch and post-launch optimization. - Ensures compliance with data privacy, security, and regulatory requirements. - Contributes to software engineering communities of practice and events that explore new and emerging technologies. - Fosters a team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills - Formal training or certification on software engineering concepts and 5+ years of applied experience. - Hands-on practical experience in ML/GenAI-based system design, application development, testing, and operational stability. - Experience developing, debugging, and maintaining code in a large corporate environment using modern programming languages (Python) and database querying languages (SQL). - Experience with ML techniques such as supervised and unsupervised learning methodologies, and exposure to LLMs. - Experience across the full Software Development Life Cycle, especially in Data Science. - Experience of cloud technologies (AWS, Azure, GCP). - Experience with Langchain, Retrieval-Augmented Generation (RAG), and fine-tuning LLM models. Knowledge of generative AI, NLP, or computer vision - Experience in agile methodologies such as CI/CD, application resiliency, and security. - Experience in PySpark and Databricks for data pipeline creation. Preferred Qualifications, Capabilities, and Skills - Experience in financial services or regulated industries. - Familiarity with LLM models (ChatGPT, Google Bard, etc.). - Excellent communication, leadership, and stakeholder management skills. - Experience with agile methodologies and product development best practices.

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