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As the Computational Biology VP, you will report to the Chief R&D Officer and Chief Commercial Officer, joining a diverse leadership team spanning research, development, data science, machine learning, computational chemistry, and computational biology across Recursion.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 3+ years relevant experience.
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Artificial Intelligence & Machine Learning : Application of AI and ML to enhance workforce planning. Strong aptitude for learning and applying AI, machine learning, and other HR technologies.
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Practical experience in any of the following: image analysis, linear algebra, probability, statistics, machine learning, optimization methods, data cleaning and processing. A minimum of a B.S. in a quantitative discipline: Statistics, Mathematics, Bioinformatics, Physics, Computer Science, Engineering, Computational Biology.
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Experience implementing automation such as machine learning (ML) and artificial intelligence (AI) is preferred. This Transformation role requires an energetic self-starter with project/product management expertise dedicated to strengthening the components of the firm's operational risk management framework.
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You will work across the entire stack including data ingestion, transformation, modelling, business intelligence, infrastructure, and machine learning. Direct experience using Machine Learning / statistics for business purposes.
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Keyword(s): Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, Natural Language Processing. Expertise in Azure cloud services, including Azure Machine Learning, Azure Functions, and Azure DevOps for CI/CD pipelines.
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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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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
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MasterControl is looking for a Principal Machine Learning Engineer to join our Machine Learning team to help build systems that accelerate the development and deployment of machine learning models, especially large language models (LLMs.
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Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.
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Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern. The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration.
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A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We've received recognition as a global Best Places to Work and a recipient of many prestigious awards for diversity, equity, and inclusion, including a DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, blockchain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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machine learning jobs in Salt Lake City, United-states, District Of Columbia
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