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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
$112,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Hands-on experience in on-prem systems and/or public/private cloud platforms like AWS, Azure, GCP, Openstack.
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Achieve quarterly new business sales targets by closing new consulting services opportunities related to Databricks, machine learning, business intelligence, data engineering, and other core service offerings of Lovelytics Collaborate and build strong relationships with our strategic channel partners, including Databricks, Tableau, AWS, and Azure, to identify joint sales opportunities, create tailored solutions, and leverage partner resources to maximize sales success.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of network switching and routing, Kubernetes, machine learning and Cloud security a plus. You will lead a team that will take Microsoft Azure Core for Government to the next level.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
$201,400 a yearExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Responsibilities Noblis is seeking to hire a Machine Learning (ML) Ops Engineer with an ACTIVE Top Secret with SCI and Polygraph in Chantilly, VA As an experienced ML Ops Engineer/Data Scientist with our team, you will be working with our federal clients to rapidly develop innovative solutions for our clients' immediate mission challenges with a focus on developing ML models.
$114,100 - $219,600 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Certification Cloud technologies e.g., GCP, Microsoft Azure or AWS is a plus. Credence has an immediate need for a Senior Advanced Analytics - Artificial Intelligence (AI)/ Machine Learning (ML) Lead/Engineers/Developers/SME to join our growing and Automation practice.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Job Responsibilities: Integrate, configure, and implement machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capability to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); and data analytics capabilities.
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Support data scientists by provisioning and managing infrastructure like GPU VMs for machine learning and Azure Databricks. Design and implement cloud data solutions on Microsoft Azure, migrating on-premises data to cloud data warehouses like Azure Synapse Analytics, and Azure Databricks.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Title: Machine Learning Engineer. Familiarity with Cloud computing environments such as Microsoft Azure. Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization.
$70 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc. Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing.
Full-timeExpandApply NowActive JobUpdated 18 days ago
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