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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong knowledge of data formats such as Parquet, Avro, ORC, XML, JSON, data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks, and AI/machine learning infrastructure needs.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use strong programming skills in SQL, pyspark, Python, R, or any of the major languages to build data pipelines. 4+ years of experience using SQL or SAS or Python to access, extract, manipulate and summarize data.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology.
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Use Python, Spark/PySpark, Databricks, Delta Lake, SQL Server, Maria DB, Mongo DB, Jira, Git/Bit Bucket, Confluence, Databricks/Delta Lake, REST services, Tableau, Unix/Linux shell scripting, Azure Cloud for data ingestion, processing, transformations, warehousing, and reporting.
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2+ years of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to ML & Natural language processing ( NLP ) Hands on experience programming languages in Python, Spark, SQL, Data frames and PySpark.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong experience working as a Data Engineer with excellent proficiency in Python, SQL, Azure and Databricks. These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. We are actively looking for a Business Intelligence Engineer to join our start-up team to help inform the direction of Key for Business through data, at scale.
$104,300 - $202,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Build modern applications, data driven solutions, IoT, Machine Learning, AI, DevOps, and more with languages including: Python,. NET, Java, JavaScript, and SQL, Web technologies like React, Redux, Angular, Vue, and Mobile technologies including iOS and Android.
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Support Data Science research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements.
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The ideal candidate would be experienced in design, implementation and optimization of machine learning algorithms and models, as well as strong python and SQL programming skills, all within an Azure environment.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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Machine Learning Engineer that work with Data Scientists in a SDLC environment into production. The main function of a machine learning engineer is to design, develop, implement, test, and maintain multi-platform machine learning software systems.
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