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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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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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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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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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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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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 7 days ago - UpvoteDownvoteShare Job
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Deploy and maintain data science, machine learning and other data products using best practices in engineering. Proven working experience (6+ years) as a Data Engineer, Software Engineer or related preferably in the financial services industry.
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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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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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Reporting to the VP of Data Engineering, as Kharon's Junior Data Engineer, you will become an integral part of our development team, contributing to our most strategic projects and participating in the architecture and scalability of the cutting-edge machine learning systems that power Kharon's suite of data products.
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Proficiency in many of the following technical areas: analog circuit design, servo design and tuning, grounding, and packaging of low-noise electronics, high-speed analog and digital signal transmission, gate array programming, state machine design, schematic capture, circuit simulation, PCB layout, and operation and testing of cryogenic/vacuum systems.
$77,000 - $115,400 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In order to grow our impact in the DeFi space we are looking to hire experienced Machine Learning Engineers to help new and established protocols better manage the systems they’ve built.
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As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions.
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
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machine learning engineer jobs in Los Angeles, CA
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