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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
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Implement and enforce cloud security best practices, including identity and access management (IAM), data encryption, network security, and compliance with industry regulations.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Experience with cloud services and platforms like AWS, GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory.
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Handling patent prosecution matters related to data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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This role requires expertise in data-oriented programming languages and visualization software, as well as proficiency in data mining, data modeling, natural language processing (NLP), and machine learning (ML) to extract and analyze information from large structured and unstructured datasets.
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Are you a seasoned Machine Learning Engineer with a background in software development and a history of crafting production-level applications? Our Machine Learning department is expanding, and we’re in search of a Machine Learning Engineer with a solid track record in the creation and implementation of Machine Learning workflows.
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The NCSIS portfolio encompasses modeling and analytics for transportation logistics and supply chain security; critical infrastructure cybersecurity; artificial intelligence/machine learning for cybersecurity, nonproliferation, and other relevant missions; autonomous cyber defense and situational awareness; cybersecurity workforce development; and knowledge discovery and management systems, among others.
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Senior Account Manager - Account Director - Business Development - Cyber Security - Managed Services - Cloud Computing - Azure - AWS - GCP - Modern Workplace - M365 - Microsoft - NHS - Health - Heathcare - Health Care.
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Establish ML Ops practices within the data engineering framework, focusing on automation, monitoring, and optimization of machine learning pipelines. You will play a crucial role in designing, building, and maintaining our data platform, with a strong emphasis on streaming data, cloud infrastructure, and machine learning operations.
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Senior Identity and Access Management Security Manager – Birmingham – Hybrid. Senior Identity and Access Management Security Manager. Knowledge of security and compliance frameworks such as NIST/FedRamp, SOX, SOC, ISO, SOC2, PCI, ZeroTrust, SaaS Security Framework, Data Security Foundations, etc.
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The role requires proficiency in patent prosecution, with a preference for expertise in electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Develop and apply AI and machine learning models to analyse large-scale biological datasets (e.g., genomics, proteomics, and clinical data). You will leverage AI and machine learning techniques to solve complex biological challenges, such as drug discovery, protein engineering, and precision medicine.
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