Description Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental...
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...
Description We are seeking a motivated and experienced Senior Applied Scientist with expertise in Machine Learning (ML), Artificial Intelligence (AI), Big Data, and Service Oriented Architecture. You should have a deep understanding of...
GenAI/Prompt Engineer Fully Remote 3-Month Contract 20-40/hr per week $70-$100/hr If you are passionate about AI, GenAI, and enjoy hands-on...
**This is an in-office role - please do not apply if are not located in NYC** **Please do not re-apply if you have applied to any Domify AI roles within the last three...
Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful...
Sage Recruiting is looking for an Applied AI Research Scientist to join a rapidly growing, AI-powered SaaS company that is revolutionizing how businesses deliver personalized user experiences. Our client's...
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data...
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...
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.