- Amazon (San Francisco, CA)
- Description Are you a Data Scientist or Artificial Intelligence ( AI ) Architect /Engineer with hands-on experience with Azure's Machine Learning offerings? Would ... their expertise across multiple cloud vendors? As an Azure AI & ML Specialist in the AWS...- 8+ years of specific technology domain areas (eg software development, cloud computing, systems engineering, infrastructure, security, networking,… more
- NVIDIA (Santa Clara, CA)
- We are looking for a highly motivated Engineering AI / ML Business Systems Architect , to join the BSA Team within IT, where you will work closely with the ... to address them + Design, develop, deploy, and maintain AI and ML algorithm pipelines and workflows...in building and improving enterprise-class systems through the entire Software Development Lifecycle (SDLC) + Minimum 5+ years of… more
- Amazon (East Palo Alto, CA)
- …Are you passionate about helping customers build solutions leveraging the state-of-the-art AI / ML /GenAI tools on Amazon Web Service (AWS)? Come join us! ... calls. AWS is looking for a Machine Learning Solutions Architect ( ML SA), who will be the...pipelines, and drive the adoption of AWS for the AI / ML platforms. You will interact with other… more
- Amazon (San Francisco, CA)
- Description AWS GenAI/ ML Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature ... challenges for customers? Become an AWS Specialist SA! The GenAI/ ML Specialist SA Team is made up of deep...solve their most complex challenges. We are the Generative AI , Traditional AI , and Machine Learning experts… more
- NVIDIA (Santa Clara, CA)
- …You'll Be Doing: + Architect and implement infrastructure platforms tailored for AI / ML workloads, with a focus on scaling private cloud environments to ... exciting endeavor! We are seeking a highly skilled Principal AI / ML Engineer to join our dynamic team...pipelines + Programming in Python (preferred) and/or Go, and software engineering best practices + Experience deploying and tuning… more
- Amazon (Santa Clara, CA)
- …ML and EC2 product teams to shape product vision and prioritize features for AI / ML Frameworks and applications. A keen sense of ownership, drive, and being ... Go to Market (GTM) of Machine Learning and Generative AI (GenAI) at AWS? AWS Sales, Marketing, and Global...across the stack - compute infrastructure (Amazon EC2, Lustre), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm,… more
- General Motors (Mountain View, CA)
- …As a Technical Lead in Machine Learning within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end ... role is pivotal in designing, architecting, and deploying advanced ML models that translate raw sensor data into actionable... capabilities. **About the Organization** : The Onboard Embodied AI team is at the forefront of developing groundbreaking… more
- Eliassen Group (Sacramento, CA)
- **Principal AI Architect ** **Anywhere** **Type:** Permanent **Category:** Architecture **Industry:** Other **Workplace Type:** Remote **Reference ID:** JN ... case management, has an excellent opportunity for a Principal AI Architect to work on a full-time...complex business problems. Lead the solution options response to AI / ML and GenAI/Agentic AI -related inquiries… more
- Google (Mountain View, CA)
- …make it universally accessible and useful. Our team combines the best of Google AI , Software , and Hardware to create radically helpful experiences. We research, ... IP design and verification, camera, video, machine learning algorithm and software development teams. + Experience in architecting hardware and workflows for… more
- Amazon (San Francisco, CA)
- …your passion for educating, training, designing and building cloud solutions. As a Principal Applied AI Architect , you will use ML and Generative AI ... help us grow. The Amazon Web Services (AWS) Applied AI Architect team partners with customers to...on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud.… more
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