Applied AI ML Lead

Job Title: Applied AI ML Lead Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As an Applied AI/ML Vice President within Asset \& Wealth Management, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions. Job responsibilities: JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Karnataka, India Availability: Full time

Required qualifications, capabilities and skills: * Formal training or certification on software engineering concepts and 5\+ years applied experience. * Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) * Experience in the application of AI/ML to a relevant field. * Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi\-supervised. * Strong experience in natural language processing (NLP) and its applications. * Solid coding level in Python, with experience in leveraging libraries, like Tensorflow, Keras, Pytorch, Scikit\-learn, or others. * Previous experience in working on Spark, Hive, or SQL. Preferred Qualifications, capabilities and skills: * Demonstrated practical experience in application of LLMs for solving business problems. * Financial service background. * PhD in one of the above disciplines. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP Salary: Not disclosed