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Experience with search engine platforms like Apache SOLR, Elastic Search or OpenSearch would be a big plus. Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT.
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Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. Superior SQL skills and experience performing deep data analysis on multiple database platforms.
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Work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models and optimizing model inference.
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Strong experience in paid social AND paid search ad platforms (Google ads, Bing ads, Meta, TikTok, etc.) Manage and oversee day-to-day advertising campaigns for clients including programmatic, content partnerships, paid search (Google, Bing) YouTube, and social ads (Meta, TikTok, etc.
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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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Your creativity will be applied to a variety of projects including roadway lighting, intelligent transportation systems, CAV/AV, smart mobility, micro-mobility, active transportation, data analytics, smart cities, climate change adaptation and more.
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Experience with Enterprise Search Technologies (Solr, Elasticsearch, Lucene, or others) Demonstrated experience in drafting documentation including functional and system requirements, configuration management plans, disaster recovery plans, user guides, System Security Plans, production data waivers.
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Expertise in core data engineering technologies Snowflake, Azure Data Factory, AWS Redshift or Databricks. As the premier data services provider specializing in Machine Learning and AI services for data and application modernization, we partner with the premier technology companies across the modern data platform like Snowflake, AWS, Azure, Fivetran, GCP and dbt to deliver cutting-edge services and solutions.
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Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces. Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks.
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Assists EPIC optime analyst in updates and/or reviews of OR and SPD system data for facility initiatives and upgrades. Using data, analyzes, recommends, and implements changes to instrumentation on preference cards that reduce OR delays due to incorrect instrumentation.
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Hands-on experience with retrieval augmented generation (RAG) architecture and experience using vector indexing tools on Google Cloud Platform. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
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Our full-service advertising agency is seeking a full-time Paid Media Specialist who is ready to dive into the data and support various digital marketing initiatives across social, search, and web.
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Robust experience in architectural design using Azure Data Services, such as Azure SQL, Azure Data Lake, Azure Data Factory, Azure Databricks, and no-SQL platforms. Proficiency in data analytics and visualization tools, including Power BI, SSIS, and SSRS.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Seeking a SCADA/MES Data Engineer that will spearhead our initiatives in bridging IT and Operational Technology (OT), propel our digital transformation journey, and bolster operations management.
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