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The Senior ML Generative AI Scientist will develop and implement cutting-edge generative AI models tailored for healthcare applications. Responsibilities include collaborating cross-functionally, enhancing ML capabilities, conducting research, and contributing to academic and industry advancements in generative AI for healthcare.
The Senior AI Engineer at Capital One will collaborate with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large-scale production AI systems and optimization techniques. Responsibilities include foundation model training, model evaluation, and contributing to AI technical vision.
The AI Engineer at Capital One will develop and support AI software components, utilize a range of AI technologies, and optimize large scale production AI systems. They will work with a cross-functional team to create AI solutions that enhance customer interactions and improve internal processes.
As an AI Engineer at Capital One, you will work within a cross-functional team to design, develop, and support AI software components, utilizing various AI technologies to create innovative solutions that enhance customer interactions and operational efficiency in banking.
As an AI Engineer at Capital One, you'll partner with diverse teams to design, develop, and deploy AI-powered products. Your role involves developing AI software components, leveraging various open-source technologies, and contributing to the technical vision of foundational AI systems.
As an AI Engineer at Capital One, you will collaborate with a cross-functional team to design and develop AI-powered products. Responsibilities include building AI software components, optimizing large language models, and contributing to the technical vision of foundational AI systems to enhance customer interactions.
As a Senior Scientist in Protein Engineering, you will lead the development and optimization of mAb and multispecific therapeutics. Your responsibilities include molecular design, structural analysis, assay implementation, and collaboration with cross-functional teams to enhance therapeutic candidates.
The Head of AI & Data at Drips will lead AI and ML initiatives focused on NLP and dialog management, overseeing the entire AI technology lifecycle from strategy through execution. Responsibilities include driving innovation, mentoring teams, collaborating with executives, and establishing best practices for operational efficiency. The role demands deep technical expertise in AI disciplines and hands-on experience in creating business solutions.
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The Generative AI Solution Architect will collaborate with business groups to understand their objectives and develop scalable Gen AI applications. Responsibilities include driving use case discovery, designing and delivering applications, performing query optimization, and assessing new AI software and tools.
The Systems Engineer, Channels will provide technical expertise to support Extreme Networks Partners. Responsibilities include training partners, assisting in network design, providing updates about products, and engaging with internal subject matter experts. The focus is on partner enablement rather than direct customer support.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
As a Senior Software Engineer, you will lead the design of a Generative AI platform, focusing on building APIs, ensuring scalability and reliability, and researching new AI techniques. You will collaborate with various teams and establish best practices for software engineering.
The Sr Director manages the Customer and Marketing organization by overseeing product, engineering, and analytics teams. This role drives the development roadmap, sets strategic vision for data products and AI technologies, manages budgets, and ensures alignment with customer needs while fostering an innovative culture.
The Senior Software Architect will define the architectural strategy for NGA CV and SOM applications, mentor teams in an Agile environment, lead technical innovation, identify optimizations, and collaborate with the customer on complex problems while ensuring the delivery of high-quality software.
The AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
The Pre-Sales Engineer will support sales activities by providing technical direction, presenting product features to customers, conducting requirements analysis, designing solutions, and acting as a liaison between sales and technical teams. They will also maintain knowledge of industry trends and best practices, and manage stakeholder expectations.
As an AI Scientist, you will develop state-of-the-art deep learning models for molecular modelling in drug discovery, collaborating with interdisciplinary experts and driving innovative research directions.
The AI Research Engineer will develop AI models to accelerate drug discovery and help design therapeutics. Responsibilities include collaborating with AI scientists and drug discovery experts to implement AI solutions and tackle complex healthcare challenges. Previous experience in AI, strong programming skills, and understanding deep learning fundamentals are essential.
As a Senior Presales Solutions Architect at Udacity, you will collaborate with sales and customer success teams to align tech training solutions with customer business goals. Your role involves engaging with prospects throughout the sales process, delivering technical insights, and building relationships with key stakeholders to drive revenue growth.
As an AI Engineer at Capital One, you will collaborate with a multidisciplinary team to design, develop, and deploy AI-powered products. Responsibilities include creating AI software components, optimizing large-scale AI systems, and contributing to the technical vision for foundational AI systems. Your role involves leveraging cutting-edge technologies to enhance customer experiences and drive innovation in the banking sector.
As an AI Engineer at Capital One, you will collaborate with diverse teams to develop AI-powered products, design and support software components, and innovate LLM optimization techniques to enhance production AI systems. You will contribute to the technical vision and roadmap for foundational AI systems, combining your engineering expertise and passion for responsible AI solutions.
As an AI Engineer at Capital One, you will design, develop, and deploy AI software components, including foundation model training and large language model inference, while collaborating with cross-functional teams to deliver impactful AI-powered products.
The AI Engineer at Capital One will collaborate with various teams to create and support AI-powered products, focusing on system design, deployment of AI components, and optimization of large-scale AI systems. Responsibilities include model training and evaluation, as well as contributing to the technical vision of AI systems.
As an AI Engineer at Capital One, you will build and support AI software components, partner with various teams to deliver AI-powered products, and develop optimization techniques for production AI systems. The role involves working on transformative AI capabilities that enhance customer interactions and improve banking services.
The Senior AI Engineer will design, develop, test, and deploy AI software components, including model training and testing, and collaborate with a cross-functional team to deliver AI-powered products that enhance customer and associate interactions. Responsibilities include leveraging AI technologies, improving large-scale production systems, and contributing to the technical vision of foundational AI systems.
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