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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
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Establish and track key performance metrics to evaluate the effectiveness of our LMS in driving learning outcomes and supporting organizational goals, whilst ensuring the platform meets all required data security and privacy compliance standards.
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Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
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NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications. This role requires a deep understanding of natural language processing (NLP), machine learning, and the ability to build intelligent and interactive conversational agents.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
$118,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Model Development: Develop and optimize machine learning models using Python, numpy, scipy, pandas, Spark, and Jupyter notebooks. Data Engineering: Expertise in building data pipelines, including synthetic data generation and web scraping.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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Knowledge or expertise in one or more of the following is a plus: visual design, machine learning, mobile applications, web applications, messaging interfaces, illustration, video/film production.
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Azure Data Factory pipelines Logic Apps Designing and implementing Azure cloud computing architecture Azure Data factory Configurations, Linked Services, Azure Resources Power BI Exceptional Candidate Characteristics: Supporting projects for Texas Department of Information Resources (DIR) Data Center Services (DCS.
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You will serve as an in-store expert by consulting with customers and providing live machine demonstrations to highlight all of the reasons why Nespresso brewing products are the best on the market.
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machine learning data mining jobs Company: Pepsico in Texas
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To ATS or not to ATS
As hiring is becoming more analytical and data-driven, companies have found ways to incorporate technology to help hire and recruit more efficiently. ATS, also known as an applicant tracking system, has become one of the most widely adopted technological recruiting tools to date. In fact, according to data from Capterra:
6 Best Ways to End a Cover Letter with Examples
Including a cover letter with your resume is a great way to introduce yourself to the hiring manager, tell them why you’re the ideal fit for the role, and provide context about your personal situation. A strong cover letter will give you an advantage over other applicants. But it’s important that you structure it properly and write it powerfully so that it carries an impact. This article will discuss how to end a cover letter effectively so you catch the eye of a hiring manager and increase your odds of landing an interview. Read on to learn more.
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It’s easy to get caught up in focusing on your resume – how it looks, what it says, and whether it’s going to land you a job interview. Because there is a big focus on building the perfect resume, job searchers often overlook the importance of a high-quality cover letter. Your cover letter plays a huge role in your first impression. It humanizes you and provides context for your resume.
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