About BRIA AI: At BRIA AI, we are pioneers in visual Generative AI, delivering cutting-edge, responsible solutions for commercial use. Built on the largest licensed dataset and developed with industry leaders, our technology...
The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital...
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this...
Title: Gen AI / Machine Learning /AWS. Location: New York City, NY (Need Onsite, Hybrid 3 days from office). Duration: 3 Years Contract Position. Need only local...
About Client: The client is a global consulting, technology, and digital firm specializing in the financial services industry. Established in 2001, the company provides innovative solutions to help clients navigate digital...
Drive innovation in financial technology as the AI Director at a rapidly scaling FinTech company revolutionizing the way businesses access funding. Role: AI Director Location: Remote (Based...
Description As an AWS ISV Partner Sales Strategist in Global Financial Services, you will have the exciting opportunity to help shape and deliver on a strategy to build mindshare and adoption of Amazon Web Services in the Financial...
AI Engineer We are seeking a dynamic and versatile AI Engineer to join our Data Science team. The ideal candidate will be a full stack developer with experience in AI and machine learning applications. This role involves developing and...
About Us Jimini's mission is to radically improve the efficacy of mental health care across the world. Jimini has developed a novel care model that combines teletherapy sessions with personalized AI support. With Jimini, your...
Our client is seeking a Lead ML Engineer to join our ML team within the Data Science group. As a Lead ML Engineer, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines.