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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
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Work with clients to identify the business potential of Artificial Intelligence (AI) and establish AI strategies, define and prioritize AI use cases, establish AI governance, and collaborate with client stakeholders to understand technical and business constraints.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are a Y-combinator backed augmented reality (AR) startup building a cloud-based visual mapping SDK for mobile AR apps.
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Dr. Shan is a glaucoma specialist and a medical engineer whose research aims to leverage computational innovations such as artificial intelligence (AI) to broaden access to glaucoma care and vision-saving therapies.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
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About inPowered: inPowered’s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI – positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
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Overview As an AI Research Scientist, you will be on the cutting edge of artificial intelligence, exploring uncharted territories of AI capabilities. Requirements Qualifications - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
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Marketing Shared Services is a centralized team that will lead the standardization and innovation of key functions, including Media, Marketing Enablement, and Marketing Intelligence, across all four of Gap Inc.’s iconic brands.
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We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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artificial intelligence machine jobs Title: data science in San Francisco, CA
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