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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques. Stay updated on advancements in data science, machine learning, and analytics.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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7+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Need deep knowledge of statistics, predictive modeling, machine learning, data mining, feature engineering. Qualifications Bachelor’s degreePhD desiredMaster’s at least required in statistics, data science, economics, psychology (research / experimental) or other heavy quant focused social or other science (biometrics.
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Equipment Used to Perform JobAll kitchen equipment including: Cash register, fryers, ovens, stoves, grills, toasters, can opener, griddle, slicer, refrigerated food prep case, thermometers, knives, dishwasher, ice machine, coffee maker, scales, pop machine, telephone, Point of Sale system.
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Leverage strong programming skills to explore, examine, and interpret large data sets in various forms, including structured, semi-structured and unstructured, to provide reporting and machine learning input for analysis and regular production models.
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This includes identification of cases for inclusion into the trauma registry database, abstraction of data from various sources including the electronic medical record, prehospital databases, and other data sources.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Responsible for capturing, documenting, and maintaining data use inventory for the Consumer & Small Business Anti-Money Laundering organization as part of Client Protection. Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors.
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The Development Project Engineer (Retrofit Data Center Construction) is primarily responsible for assisting with the design, preconstruction and construction activities on given retrofit project(s.
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Position Title: Mainframe Operations Engineer Position Status: 6-month contract with rolling extensions Schedule: HYBRID Overview: Our client is looking for a Mainframe Operations Engineer for a HYBRID position based out of Richmond, VA. Responsibilities: Seeking to fill an open contract to hire position for a Mainframe Operations Engineer within our Systems and Database Administration team.
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