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Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python.
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Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. Minimum Qualifications, Knowledge, and Skills Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
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Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
Full-timeWork from homeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
$206,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). As a Senior Customer Engineer, you will support the Google Cloud Sales team and drive goals, mission, and strategy around Google Cloud AI/ML solutions that aid in a customer’s migration and transformation.
$214,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. An exciting remote telework opportunity, to work as a Sr. Machine Learning (ML) Engineer who will be responsible for research, development, implementing, and deploying machine learning models and algorithms to solve a wide range of cyber analytical challenges.
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Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions.
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The MLOps Engineer assists in defining and implementing best practices and leverage their prior engineering, data science, and machine learning experience to build and maintain Mercys ML platform and infrastructure.
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Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with distributed computing and big data technologies. If you're a seasoned machine learning engineer with a passion for innovation and a track record of delivering impactful solutions, we want you on our team.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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