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Experience on Vertex AI and machine learning frameworks such as TensorFlow or PyTorch. Experience with Vertex AI and machine learning models and algorithms using PyTorch, TensorFlow or any other machine learning frameworks.
$120,750 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow. 8+ years of progressive experience as a data analytics, machine learning engineer or similar roles.
$210,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Experience with stream-processing systems (ksqlDB, Spark Streaming, Kafka, Apache Beam/Flink, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Ideally 3+ years of hand-on experience in distributed processing using Databricks, Apache Python/Spark, Kafka & leveraging Airflow scheduler/executor framework. leverage Airflow to build complex branching Data Driven pipelines and leverage Databricks to build the spark layer of data pipelines.
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Proven experience developing and deploying machine learning models in production environments using Azure cloud services (e.g., Azure Machine Learning, Azure Databricks, Azure Kubernetes Service.
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10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Conduct PROMOD pre-sales demos, demo support, demo database creation as requested. Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects.
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Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
$179,900 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Demonstrating experience with Agile development frameworks, having lead to completion projects that involved Requirements, Design, Build, Test, Deploy, and Support;Leading and development of proposal content and technical solution questions in response to RFPs;Working with the leadership teams and peers across pursuits, pre-sales activities, and delivery of engagements; and,Working in an onshore-offshore environment and in coordinating activities across time zones.
$256,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Familiarity with big data and cloud technologies such as Hadoop, Spark, AWS, Azure, Google Cloud, Snowflake, and Databricks. A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') within Automation means working for a leader in AI-Powered products.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Have strong knowledge and hands-on experience with workflow orchestration tools, such as ServiceNow Workflow, Client OO, Rundeck, Apache Airflow, Tidal and BMC Atrium Orchestrator. Have deep knowledge of Apache Tomcat, Kafka, Django, RMQ, ELK, Nginx, F5, Client, Grafana, Prometheus, and AppDynamics.
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A minimum of 3 years of hands-on experience with Apache Spark for large-scale data processing, including building data visualizations using PySpark and Jupyter Notebooks. Create, maintain, and enhance data ingestion processes using Apache Spark to ensure data quality, integrity, and consistency.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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machine learning apache spark pre sales jobs Company: Databricks in Cary, NC
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