2 jobs found

We are looking for a Machine Learning Engineer/Data Scientist with experience in deploying Machine Learning (ML), Deep Learning (DL) models. As part of the Solution Architecture organization, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor! What You’ll Be Doing Develop and demonstrate solutions based on NVIDIA’s ground breaking ML/DL, data science software and hardware technologies to customers. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance...

We’re working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. The Risk team plays a critical role in the company’s financial health, by enabling the realization of this opportunity while simultaneously controlling risk. What you’ll do Responsibilities Act as an embedded partner to the Risk team, identifying and solving complex and ambiguous questions with data and modeling Plan and execute with partner teams on modeling initiatives to increase accuracy, automation, and explainability Build statistical and machine learning models to measure all aspects of risk Create metrics and dashboards for key performance indicators and deep dive to understand the drivers of those indicators Effectively communicate the outcomes of your analysis to key stakeholders Who you are We’re looking for an...