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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) + Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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The company also does artificial beaches, urban lagoons, wave pools, surf parks, aquatics, sewage treatment, wastewater, and drinking water. Knowledge of environmental regulations (SPCC, SWPPP, NPDES/TPDES, TRRP, TCEQ, RRC, NMED/OCD, OKDEQ, RCRA.
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Our intern program provides learning and career development opportunities.
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The IoT Practice provides PLM strategy, best practice/standards development, deployment, management, and operational support across the pharma/biopharma supply chain. Keywords: SAP-PLM, Enovia PLM, Infor Optiva, Oracle Agile Prodika, Selerant, Hamilton Grant, Gap analysis, Teamcenter PLM, Windchill.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The role will involve working on some of the world's most sophisticated SoC designs within areas such as autonomous driving and machine learning. The Senior Verification Engineer will be responsible for advanced UVM based testbench development and owning RTL verification test/coverage at system level.
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FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
RemoteExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The company also provides recreational quality water for artificial beaches, urban lagoons, wave pools, and surf parks, as well as ultra-pure and potable water for a variety of uses. Proven experience as a TV host, journalist, or similar role, with excellent interviewing and on-camera skills.
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Experience with advanced aerospace manufacturing and materials including sandwich panels and carbon composites, OR experience with high-reliability deployment mechanisms for space applications (including deployment, HDRMs, power delivery, etc.
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Project maestro : You've got a solid track record in turning technical concepts into reality, and managing the full cycle from planning to deployment. Collaborate with software engineers to design and implement the deployment of Nominal's software to its first air-gapped on-premises environment.
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You will serve as an in-store expert by consulting with customers and providing live machine demonstrations to highlight all of the reasons why Nespresso brewing products are the best on the market.
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deployment machine learning artificial jobs in Austin, TX
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