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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. Experience in statistics, data mining, or machine learning.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Knowledge of one or more of the following: Machine learning, distributed systems, quantum simulation, quantum chemistry, linear algebra, quantum information, or quantum physics. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world.
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This position is part of the Artificial Intelligence and Machine Learning Research & Development team located in Vista, CA and will be a fully remote position, reporting to the Principal Architect, AI Software.
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Python, Shell Scripting and Linux-based operating systems with applications in machine learning and image processing. This individual contributor position offers the chance to work on cutting-edge projects that impact the diagnostics field profoundly, focusing specifically on the development and integration of advanced machine learning and AI technologies.
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Requires a Master's degree in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a directly related field plus one (1) year of experience designing perception Algorithms for self-driving vehicles.
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Model Development: Build and optimize machine learning models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, and deep learning architectures.
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For now, this does not include front-end, artificial intelligence, or machine learning development. C), to HDL programming (VHDL, Verilog), to test systems (Python), and many things inbetween.
$85,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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AI, Machine Learning, Deep Learning. Sr. Software Engineer. Experience with implementing or maintaining identity and access management solutions:Products/Vendors: Active Directory (AzureAD/AD), Okta, Ping, Azure AD, SailPoint, BeyondTrust, Siteminder.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. You will lead a team of data engineers to ensure the efficient flow of data from various sources to support business intelligence, analytics, and machine learning initiatives.
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As a Senior Machine Learning Engineer at System1, you'll play a key role in driving our product strategy forward. Senior Machine Learning Engineer. Hands-on experience with dataiku (preferred)Fluency in Python or similar scripting language in a data science contextStrong software design and implementation skills with Python or a general-purpose programming languageExperience in service-oriented environments: Microservices, SaaS, or cloud-native environments preferredProficiency in AWS and infra-as-code (terraform, pulumi, etc.
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We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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machine learning engineer jobs in Los Angeles, CA
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