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Causal modeling, NLP, time series, deep learning, etc. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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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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What you’ll do: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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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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Understanding of a wide variety of technology areas including: web services, big data, machine learning, virtualization, data storage, databases, and operating systems. Amazon’s legal department is looking for an experienced patent attorney to support our Amazon Stores business and our growing portfolio of machine learning products and services.
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UHIT/OHIA, Data Architecture Executive Sponsor: Albert Duntugan - Chief Data Officer Preceptor: Ghouse Mohammed - Manager, OHIA Data Architecture Overview: The team is in-charge of Data Architecture and Engineering for clinical , Operation, Finance, Quality, and research analytics uses cases, which include Azure Databricks, Artificial Intelligence, (AI), Machine Learning (ML), etc.
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As a Staff Data Engineer at Jump, you will be responsible for designing, developing, and optimizing our data warehouse, data pipelines, and related infrastructure—systems that will underpin sophisticated machine learning-based fan experiences.
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Knowledge and experience in data strategy and data transformation programs preferred; Strong skills in Data/Reporting tools e.g. SQL, Power BI. Python is strongly preferred. Experience in data-related process re-engineering and system transformation in investment management industry.
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Experience working with data: media analysis, media mix models, multi-touch attribution models, digital attribution, consumer research, and shopper insights. Investment and activation experience with performance-based digital media, Paid Search, and Retail Media.
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Data Engineers in Machine Learning on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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As a Senior Data Scientist at WBD, you will take a key role in developing and deploying suites of machine learning models to predict content performance on Max, in turn driving business decision-making for our streaming platform.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
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