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Access to every diagnostic machine needed for immediate information on acute injuries with insight MRI, X-ray, CT scan, diagnostic ultrasound. CSCS - Certified Strength and Conditioning Specialist.
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Product coverage includes e.g. Lien Based Hedging, Spark Spread swaps, Natural Gas hedging, and Lending secured by commodities and related contracts. Product coverage includes e.g. Lien Based Hedging, Spark Spread swaps, Natural Gas hedging, and Lending secured by commodities and related contracts.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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From there, we develop and integrate data technology solutions that harness the latest in data visualisation and machine-learning, and provide digital marketing and rights-sales services that grow revenue across ticketing, premium, sponsorship and media.
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Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Launched in 2015, SOL DE JANEIRO is an award-winning, fast-growing premium global lifestyle beauty brand inspired by the beauty rituals and attitude of the beaches of Rio. Our brand purpose is to spark endless self-celebration and joy through the power and warmth of the Brazilian spirit.
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Expertise in machine learning, predictive modeling, and statistical analysis. Strong experience with big data technologies such as Hadoop, Spark, or Kafka. The ideal candidate will possess a strong background in data analysis, statistical modeling, and machine learning.
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Mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. How you will fulfill your potential: Develop software and analytics to progress Corporate Treasury’s mandates: interest rate pricing & risk management, trade execution, funding optimization & liquidity risk management and cash & collateral management Optimize the firm’s liability stack by developing balance sheet analytics and hedging strategies Actively engage with Corporate Treasury Trading, supporting valuation and risk/P&L reporting.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Proven experience as a Machine Learning Engineer or similar role. Machine Learning Engineer. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Hadoop, Spark) is a plus.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Tools ( Toad)Experience with Container Management ( Docker, Kubernetes), Micro ServicesExperience with Cloud based technologies, specifically with AWS services, Data bricksDesign Experience with Big Data technologies ( Kafka, Apache Spark, NOSQL)Exposure to Python and ScalaExperience with development frameworks and methodologiesExpert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally.
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We have partnered with the Apache Software Foundation, the Micronaut Foundation, and other OSS projects like Spring, Quarkus, Kotlin Compiler, JUnit, AndroidX, etc., to bring the values of Develocity also to the OSS Community.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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