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Role : AI / Machine Learning Engineer. This commitment includes the establishment of the corporate position of Quality Assurance Manager, and our certified International Standards Organization (ISO) 9001:2008 Quality Management System (QMS.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Data Science, Machine Learning, or Deep Learning experience is a plus. Experience leveraging big data technologies (Hadoop, Netezza, Vertica, AWS, etc) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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Skills: Strong knowledge of data governance, AI, Machine Learning, and cross-functional data strategy implementation. Technology Innovation: Drive the adoption of AI, Machine Learning, and other advanced technologies.
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Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within Customer’s org.
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Faculty members have diverse backgrounds and pursue a variety of research interests, including asset pricing, corporate finance, banking, household finance, labor finance, FinTech, and machine learning.
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The faculty have various research interests including business analytics, business value of information technology, crowdfunding, fintech, IT security, platform economics, and machine learning among others.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta’s Environmental, Social, Governance (ESG) team oversees responsible business strategy, governance, cross-functional engagement and reporting at Meta. The ESG Data Specialist will be responsible for working cross functionally to identify ESG data needs, ensuring data governance protocols are introduced and adhered to, and facilitating ESG metrics and indicators reporting while coordinating across multiple work streams.
$166,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Job Title: Machine Learning (LLM) with UI Development Engineer. Specialized Area: Machine learning. Job Title: Machine Learning (LLM) with UI Development Engineer. We will have one of the Data services' engineers partner with the app developer (behind the scenes.
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Or R, LLM, Machine Learning, Data Science/Engineering is a plus. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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As the impact of Machine Learning and Large Language Models (LLMs) on Higher Education continues to grow, we are seeking a Principal Data Scientist to lead the way in leveraging these technologies to benefit university students and instructors.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a Senior Data Scientist, ideally with a background in demand forecasting and time-series, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges.
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Nice to have experience with: Redis, Docker, JMS, DocumentDB, ActiveMQ, RxJS, Cloud (AWS), Artificial Intelligence/Machine Learning, Construction/Scheduling. Nice to have experience with: Redis, Docker, JMS, DocumentDB, ActiveMQ, RxJS, Cloud (AWS), Artificial Intelligence/Machine Learning, Construction/Scheduling.
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Data engineering for large-scale machine learning on Cloud preferably Azure Fabric. Data engineering for large-scale machine learning on Cloud preferably Azure Fabric. Experience with cloud computing on at least one of major providers (Google Cloud Platform, AWS, or Azure.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Cloud Platforms: Familiarity with cloud infrastructure and services (e.g., AWS (Amazon Web Services), Azure, Google Cloud) can be beneficial for managing data and machine learning workflows.
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machine learning jobs in Atlanta, IL, Canada
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