- JPMorgan Chase (Chicago, IL)
- …applications to support various business functions, workflows of Wholesale Lending Services. As an Applied AI /ML Lead in our Technology team, you will play a ... programs and provide directions to successfully implement the large AI /ML initiatives + Assist product leadership in defining the...Java, C/C++, etc. + Experience with LLMs and Prompt Engineering techniques. + 1+ year of experience working with… more
- JPMorgan Chase (Palo Alto, CA)
- …processor of USD payments, with a daily transaction volume of $10 trillion. As an Applied AI ML Scientist, you will design, build, and deploy advanced machine ... culture of innovation. + Collaborate with cross-functional teams, including product, engineering , and data science, to align modeling solutions with business… more
- JPMorgan Chase (Jersey City, NJ)
- …certification in software engineering concepts and at least 5 years of applied experience + Advanced degree in Cognitive Engineering , Human Factors, ... Applied Cognitive Psychology, Systems Engineering , or related field + Proven experience in complex,...visual modalities + Skill in translating cognitive principles into engineering requirements for multimodal AI systems +… more
- JPMorgan Chase (Jersey City, NJ)
- …we perform this business. Join our dynamic team of innovators and technologists as an Applied AI /ML Lead, where your mission will be to revolutionize how the ... and skills** + Formal training or certification on software engineering concepts and 5+ years of applied ...applied experience. + Hands-on experience in building Agentic AI solutions. + Familiarity with LLM orchestration and agentic… more
- JPMorgan Chase (New York, NY)
- …Analytics Group and help shape the future of risk management through data science and AI . As a Vice President Data Scientist, you'll collaborate with top ... drives real business outcomes. As a Data Scientist - Vice President in the AWM Risk Analytics...years' experience as a Data Scientist or in an applied AI /quantitative role, developing and deploying NLP… more
- JPMorgan Chase (Boston, MA)
- …(and counting) are using 55ip. **Job summary:** As a 55ip - Senior Product Manager - Vice President working on the 55ip Product Management team you will lead the ... **Required qualifications, skills and capabilities:** + Bachelor's/Master's in Finance, Financial Engineering , Applied Mathematics, or related field; CFA or FRM… more
- JPMorgan Chase (New York, NY)
- …looking for an established applied research lead highly skilled in software engineering with proven network and security R&D background. Are you looking for an ... challenging area? This is a unique opportunity for you to work with Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co. (JPMC). The goal is to… more
- Dynatron Software (Richardson, TX)
- …intelligence that drives our customers' success. The Opportunity We're seeking a visionary Vice President , Data to architect and lead Dynatron's product data ... AI , analytics, and product excellence at scale. As VP of Data, you'll own the strategy, systems, and...backbone of our data-driven platform. You'll lead our Data Engineering , Architecture,, and Data Science functions, guiding them toward… more
- Wolters Kluwer (New York, NY)
- **About the Role** The ** Vice President , FCC Data Intelligence Center of Excellence (FDI)** will lead the data, analytics, and monetization strategy for the FCC ... operations that blends productivity with expert oversight. **5. Data Engineering & Infrastructure** + Oversee data pipelines and model...commercialization events. + Act as an evangelist for WK's applied AI and data monetization capabilities in… more
- Waystar (Atlanta, GA)
- …in data science, with at least 5-7 years in a senior leadership role ( VP or SVP level) managing global, production-focused ML/ AI teams. + Deep, hands-on ... performance for our clients. **WHAT YOU'LL DO** As the VP of Data Science, you will be a strategic...Proven experience with advanced techniques like Deep Learning, NLP/Generative AI , and predictive time-series modeling, specifically applied … more
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