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Minimum 5-7 years of hands-on marketing or creative services experience including campaign development, graphic design/art direction, copywriting, email marketing, websites, social media, search engine marketing, etc.
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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4+ years experience in enterprise-scale technical design, delivery, or consulting on Azure AI services, Generative AI, NLP, Computer Vision, Search, Deep Learning, Azure Machine Learning, MLOps, Open-Source AI frameworks, AI infrastructure, architecture design, or related technologies.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learningStrong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packagesDemonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
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Hands on experience with Agile Lifecycle Management and engineering tools including Atlassian Jira and Confluence. Hands on experience with Oracle SQL and/or PL/SQL used in development of web applications.
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Hands-on experience with cloud-based platforms and services, such as OCI, AWS, GCP, and Azure. Experience deploying LLM models in cloud environments (e.g., OCI, AWS, Azure, GCP) and on-premises infrastructure.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Every position at Kyndryl offers a way forward to grow your career, from a Junior Architect to Principal Architect - we have opportunities for that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms.
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4+ years Hands on experiences in some AWS technologies like - Cloud Watch, Step Functions, Lambda, Glue, EC2, Redshift, DynamoDB, SQS, ECS/EKS, Elastic Search, SnowFlake, Elastic Cache, databricks, TeraForm to name a few.
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5+ years of hands on SAP Analytics Cloud (SAC) planning and analytics implementation, with project experience of migrating BPC to SAC. We have seen a recent rise in recruitment scams and want to share some info to help you protect yourself during your job search with Applied Materials.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. 5+ years of SW, Data Science/ML or Data Engineering experience working on highly complex problems in a dynamic setting.
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Hands-on ability to walk general generative AI use cases through the Retrieval Augmentation Generation (RAG) process, from text loading, chunking, extraction, and search/response retrieval.
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Provide operational support and assistance with infrastructure implementation for Bring your own key and Enterprise Key Management (BYOK/EKM) systems on-site, together with Cloud HSM, Azure KeyVault, and Amazon Web Services (AWS.
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This person will working on all new green development projects utilizing an array of tools such as: JVM programming languages(Java/Springboot, Groovy, Python), Docker + Kubernetes, Javascript/React, Kafka, Elastic Search, Lucene, Spark, and Cassandra, DynamoDB as well as Neo4J. Obviously very few folks have touched/been hands-on with all of these tools in production.
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