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The AI Storage Technology Strategist will drive strategic partnerships and guide hardware/software solutions to enhance AI and HPC infrastructure. Responsibilities include creating an AI ecosystem map, ensuring software compatibility, engaging customers, and leading global teams in optimizing AI technology. The role focuses on establishing thought leadership and staying updated on market trends to inform product strategies.
The Tech Lead, Senior Software Engineer for Generative AI will be responsible for designing and implementing backend systems for generative AI models, building automation frameworks, leading project planning and execution, and collaborating with product teams to ensure successful product delivery.
The Senior Data Scientist will lead machine learning and AI projects, designing and deploying NLP models, conducting advanced data analysis, collaborating with teams, and communicating insights to stakeholders while staying updated with the latest technological advancements.
As a Senior Software Engineer at Superblocks, you will develop and optimize AI models and workflows, design a real-time distributed execution engine, and enhance platform capabilities by collaborating with customers and the product team.
The role involves contributing coding expertise to train AI models by crafting and answering computer science questions and evaluating AI-generated code. This freelance position offers flexible hours and the chance to work on various AI projects.
The AI/ML Software Engineer at Coda will build AI-driven products to solve user problems using language models, enhancing user experience, and collaborating with other teams on product features. They will handle model creation and production as well.
As a Senior AI Solution Engineer, you will design and deploy AI solutions to address business challenges, guide AI and automation technologies' adoption, ensure compliance with data privacy standards, and collaborate across teams while staying updated on technology trends.
The AI Engineer will design, build, and deploy enterprise-level AI agents, collaborate with product teams for integration, utilize data analysis for informed decision making, and engage customers to refine AI solutions. Additionally, they will optimize agent performance, document AI processes, and participate in knowledge sharing.
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The AI Engineer will lead the development and deployment of an advanced AI system for data creation and verification. Responsibilities include model development, system integration, testing, documentation, and continuous improvement of AI applications alongside managing data processes.
The Senior Principal AI/ML Engineer will lead the development of machine learning and generative AI solutions, collaborate with cross-functional teams, mentor engineers, and guide technical direction. Responsibilities include designing scalable applications and contributing to advanced analytics platforms, ensuring successful delivery of data-driven decisions.
The Full Stack Engineer III will design, develop, and integrate AI and ML solutions into existing platforms. Responsibilities include working with both front-end and back-end technologies, optimizing applications, and collaborating with cross-functional teams to deliver innovative solutions.
The AI Engineer will design and develop deep learning models for analyzing large sets of high-resolution image data, integrate their development into a cloud-based processing pipeline, and will be responsible for data labeling strategies and model performance tracking.
The Enterprise Architect will lead technology architecture and solution delivery efforts, focusing on AI and data strategies. Responsibilities include developing business technology architecture, collaborating with teams across the organization, and promoting best practices to enhance solution quality while ensuring alignment with the company's growth objectives.
As a Software Engineer III, you'll develop and maintain prototypes and production-ready AI applications, collaborating with a diverse team to implement innovative human-AI workflows. Responsibilities include driving enhancements in system security, scalability, and performance across the full stack.
As a Principal Solution Architect for Data & AI, you will design and implement solutions tailored to client needs, collaborating with various teams to gather requirements and deliver insights. Your role includes overseeing project implementations, establishing best practices for data management, and staying abreast of technological advancements in data science and AI.
The Senior Software Engineer, AI will lead the AI/ML strategy and implementation, focusing on designing, developing, and deploying advanced Retrieval-Augmented Generation systems. Responsibilities include conducting AI/ML research, creating scalable machine learning architectures, optimizing system performance, and mentoring team members.
The Software Engineer, AI will lead AI/ML strategies, develop and implement advanced retrieval-augmented generation systems, conduct R&D for AI/ML algorithms, and optimize ML integrations and systems. They will also mentor team members and work collaboratively across various departments.
The UX/UI Developer will design and develop user-friendly interfaces for AI tools, focusing on enhancing usability for both internal and external users. Responsibilities include user research, wireframing, prototyping, technical implementation, and performance optimization to ensure effective interaction design.
The Artificial Intelligence Solution Engineer role involves developing and implementing AI solutions for various business problems, ensuring optimal performance, and collaborating with cross-functional teams to deliver innovative results.
As a Forward Deployed Engineer, you will develop and execute AI-driven interactive video games, collaborating closely with high-profile partners. Responsibilities include defining requirements, solving technical challenges related to AI character interactions, and translating partner feedback into product roadmaps for immersive experiences.
The Senior AI GPT Developer will play a key role in developing business solutions, implementing machine learning systems, and writing reusable code. Responsibilities include integrating cloud services, managing document storage, and orchestrating large language models within an Agile Scrum team environment.
The Senior Engineer, AI will develop advanced software solutions for AI and ML workloads, perform research and development for computing systems, and collaborate with hardware/software teams to innovate on algorithms and prototypes.
The Senior Product Portfolio Manager will lead the Enterprise Data & AI team at GSK by managing the product portfolio, overseeing data ingestion and AI capabilities, and ensuring delivery of solutions to meet business needs. They will collaborate with stakeholders, drive the platform strategy, and employ Agile practices to enhance performance throughout the product lifecycle.
As the Principal AI Engineer, you will lead the team in designing and implementing AI solutions for mental healthcare, focusing on LLM workflows, advanced prompt engineering, and AI infrastructure optimization. You will collaborate with cross-functional teams and mentor junior engineers to create innovative AI/ML applications that improve mental health outcomes.
As the Vertical Sales Lead for AI solution providers, you will drive sales growth in the Americas by executing sales strategies, building and leading a high-performing account team, and fostering relationships with customers and partners. Your focus will be on promoting D-Wave’s Quantum AI solutions and ensuring a strong pipeline of business opportunities.
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