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This position is a great opportunity to use your machine learning, data engineering, and AWS cloud service skills to enable machine learning as a service at scale at Procore.
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You will be part of the Data Science and Systems team consisting of Data Scientists and Machine Learning Ops Engineers. epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, Kafka, Knowledge Graph, SQL and non-SQL data store, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, a suite of in-house and third-party content publishing tools, A/B experiment design platform and a suite of commercial-advertising platform.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video, and geo) across 500+ languages and dialects.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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Strong knowledge of probability, statistics, and machine learning for time-series data. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C.
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Keywords:Boston MA Jobs, Software Manager, UI, User Interface, JavaScript, React, Redux, HTML, CSS, Bootstrap, Java, PHP, Python, AWS, PaaS, SaaS, IaaS, AppSync, Lambda, Cognito, BeanStalk, CloudWatch, CloudMonitor, EC2, S3, VPC, SQL, MySQL, AWS-RDS, DynamoDB, AWS-Elastic Cache, ETL, Data Lakes, AI, Artificial Intelligence, ML, Machine Learning, Data Science, Agile, Waterfall, Work From Home, Remote, Massachusetts Recruiters, Information Technology Jobs, IT Jobs, Massachusetts Recruiting.
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B2C/B2B portal is built with React on an open-source headless CMS framework as-a-backend (Liferay) hosted on AWS.The service portal is built in with React on top of Lambda/AppSync AWS PaaS/IaaS.Full reporting suite across all databases, analytics, web-analytics, and unstructured data (MetaBase.
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Key Qualifications: 3+ years of experience building enterprise level applications on large-scale distributed systems Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software.
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
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Familiarity with applied mathematics, statistics, data science, machine learning, or natural language processing is helpful. Bachelor’s degree in electrical engineering, computer engineering, or computer science; Juris Doctorate degree (JD) from an accredited U.S. law school; and excellent academic performance required.
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Data analytics project experience using Python, SQL, or R.Experience using a variety of data mining/data analysis/machine learning methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
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Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics technologies, especially Apache Spark, Flink, AirFlow, and related software in a large scale environment.
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Implement and deploy software backends that incorporate AI systems at scale, more specifically around data extraction from documents into useful and searchable data for our customersStay updated with the latest AI and machine learning trendsSolve concrete industrial data problems by designing and implementing delightful APIs and robust services on top of Cognite Data Fusion.
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For this role, you will also need a firm understanding of content writing, natural language processing, linguistics, and machine-learning. Understanding of AI technology, machine-learning, natural language processing, and a keen interest in exploring their potential applications with AI-generated content.
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