Description : The Risk Quantitative Development (RQD) model implementation team develops and manages features and enhancements to services that execute ML pipelines for fraud detection and risk assessment. Our activities include perform hands-on coding of production-ready code using Java , Python, Scala, Spark, other programming languages or tools, assist modelling teams in their coding, and create tools which validate data and which streamline the implementation process. The candidate will be part of the development team that drives target state architecture design and implementation of the highly scalable, fault-tolerant and low latency services. Roles & Responsibilities - Hands on thought leadership for building on premise and cloud based ML solution architecture - Have a solid understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models - Deep Technical knowledge in architecting, designing, and Integrating new Solutions in a large-scale enterprise of highly distributed applications - Design Enterprise Machine Learning platforms that are capable of running predictive models. - Understand end-to-end data flow to implement Machine Learning models, identify appropriate data sources and integrate them ML platform for underlying model to work - Provide solutions to productionalize any models built by Data Scientist team - Lead model validation before implementing in production for live-usage - Design and own the ML features store and make it reusable for other models - Build AI/ML delivery pipeline for downstream users. Design model quality control with data scientist and other business users. - Design/redesign and innovate new architectural patterns that support scalable ML deployment - Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability. - Provides technical leadership, guidance and direction to other team members. - Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders. Influence senior business and technology stakeholders across JPMC - Solving complex problems with datasets and optimize existing ML libraries and frameworks - Ability to build global teams to achieve organizational goals and passionate about building an innovative culture - Partner with product owners to define firmwide technology strategies and roadmaps across JPMC - Drive innovation and ensure that JPMC maximizes the business benefits of adoption of market leading technology capabilities; Ensure new innovations are rapidly evaluated, piloted and then scaled where appropriate, working closely with product owners Qualifications : - Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) and 10-15 years of application development experience - Experience in building application framework and/or platform development experience - Deep knowledge in solution design patterns, building resilient solutions across on-premise application and cloud including associated security considerations - Background with Machine Learning Frameworks and Big Data technologies such as Hadoop. - Experience in automating, tuning and implementing ML Models (XGBoost, Logistic Regression, Neural Networks, NLP, etc.) . JPMorgan Chase & Co., 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. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Job Type - PERMANENT, FULLTIME Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Bangalore

JP Morgan Chase - Vice President - AI ML Lead - Software Engineering 

Job Description for JP Morgan Chase - Vice President - AI ML Lead - Software Engineering  in JP Morgan Chase in  Bangalore for (10-15) years of experience. Apply Now!