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The role involves leading the design and integration of Generative AI solutions in Firefox, building infrastructure for training and validating models, and optimizing deployed models for efficiency. The engineer will also collaborate with different teams to ensure the contributions effectively enhance the browser's capabilities.
As a Principal Software Engineer in the Content Relevancy team at Walmart, you will lead the development of innovative search products, create detailed architecture plans, guide a team of engineers, and analyze business requirements. You will design solutions that enhance user experience and promote collaborative efforts across cross-functional teams.
As a coding expert, you will provide assistance in training AI models by crafting questions related to computer science, evaluating AI-generated code, and ranking its quality. This role allows for flexibility in hours and is entirely remote.
As an AI Cloud Solution Architect at Ascent, you will collaborate with teams to develop AI solutions, lead early-stage client engagements, architect scalable solutions, and contribute to developing AI accelerators while working in a hybrid environment.
In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.
Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.
The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.
The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.
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Building a new software engineering team with strong applied AI orientation to create company-wide applications addressing colleagues' everyday problems. Responsibilities include collaborating with cross-functional teams, gathering requirements, designing and building AI-driven products, and staying updated on AI advancements.
The Video Marketer will produce engaging marketing videos for AIPRM software while enhancing existing materials. They will monitor AI market trends and maintain quality across all content. Responsibilities include creating videos for platforms like YouTube and TikTok.
The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.
As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.
The AI Technical Architect leads the development and implementation of AI strategies, supports customers with AI infrastructure and solutions, and collaborates with teams on cloud technologies. They design data-driven AI projects, automate processes, provide technical support for AI issues, and deliver client workshops to enhance technology adoption.
The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, focusing on Large Language Models. Responsibilities include API development, collaboration with teams, continuous system evaluation, and mentoring junior members while staying updated on AI trends.
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