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Integration with AI: Collaborate with AI and machine learning teams to integrate data into predictive models and algorithms, ensuring seamless interoperability between data engineering and analytics components.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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The Data Center Technician Apprentice will develop their skills with hands on work, training, performing requested tasks, assisting in building rounds and maintenance. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, social & cognitive science.
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On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadershipWe'd love to find someone who is.
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Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition.
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Bachelor's degree required – Candidates with a major in Computer Science, Data Science, Economics, Engineering, Accounting or other related technical discipline with an emphasis on analytic skills are preferred.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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They handle routine maintenance for their equipment and workspace, working closely with the machine shop supervisor and collaborating with other machinists, quality assurance, planning, and engineering teams to ensure everything runs smoothly.
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Experience with software engineering and data engineering tools (Databricks, Spark, Snowflake). Senior Machine Learning Engineer - Defense & Aerospace. As a Senior Machine Learning Engineer , you will utilize technical skills to make an impact.
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High proficiency in AutoCAD, Civil 3D software, Leica LGO/Infinity, Leica robotic total stations, GPS, and data collectors. Bachelor’s Degree – Civil Engineering, Land Surveying or related field from an accredited program.
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Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Typical Python Data Engineering library experience like Scikit-learn, Pandas, NumPy, Airflow, Kafka, and Spark. This role is a combination of data engineering, data governance, and data integration.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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hands on machine learning data engineering business jobs Company: Meta in United-states, District Of Columbia
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