Forvia, a sustainable mobility technology leader New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, FORVIA anticipates the future of mobility developing cutting-edge solutions for smart
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing
Customer Experience Dealer Performance Metrics Manager The Customer Experience Dealer Performance Metrics Manager is responsible for developing an interwoven CX strategy with Mopar, TSO, Customer Care, Connected Services/Software Org and Sales channels/stakeholders to collaborate, develop and
PURPOSE AND SCOPE: The professional registered nurse Outpatient RN CAP 2 may be an entry level designation into the Clinical Advancement Program (CAP) for new employees who meet the RN CAP 2 criteria or attained through
Outpatient Registered Nurse The professional registered nurse Outpatient RN CAP 1 is an entry level designation into the Clinical Advancement Program (CAP). This position is accountable and responsible for the provision and coordination of clinically competent
Support development of analytics and machine learning models for wearable and sensor-based systems Focus on processing physiological and environmental data to enable real-time insights and decision support Develop machine learning models and analytics pipelines Work with sensor and physiological data
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way
If you are passionate about leveraging advanced analytics and AI to combat fraud and drive business value, we encourage you to apply! As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As an AWS Lead Software Engineer- Java/Spring/Kafka at JPMorgan Chase within Consumer and Community Bankings
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems - Prepares and
DESCRIPTION: Duties: Perform tactical and strategic-level activities to build and support the big data and cloud environment. Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems. Create secure and
Push the limits of whats possible with us as an experienced member of our Software Engineering team. As an Experienced Software Engineer at JPMorganChase within the Global Technology team, you serve as member of an agile
Machine Learning and Artificial Intelligence play a critical role in transforming Consumer and Community Banking Operations. The ability to utilize data in meaningful ways allows us to develop solutions which both our customers and employees can benefit from.
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that
Key Responsibilities Model Development: Design and develop machine learning models to drive impactful fraud modeling, covering the entire customer lifecycle, including acquisition, account management, transaction authorization, and collections. Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies - including deep learning architecture, transformer-based