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Deep knowledge of Artificial Intelligence (AI), Large Language Models (LLMs), Generative AI (Gen AI), Machine Learning (ML), and Applied Statistics. As an AI & ML Solution Architect, you will collaborate with cross-functional teams, design and lead end-to-end AI and machine learning solutions that leverage cloud data architectures.
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Experience with cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Databricks Lakehouse, etc.) Expertise across modern cloud AI platforms (Databricks, Snowflake, AWS SageMaker, Azure ML, GCP Vertex AI, Dataiku, etc.
$106,300 - $235,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.) Familiarity with data visualization tools such as Tableau and Power BI. Back-up child care, Pet insurance, a Member Assistance Program, a 529 college savings program, a personal financial management tool, lifestyle management programs and more.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
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Work 2 days, off 2 days; work 2 days, off 2 days; work 3 days, off 3 days (repeat)Job SummaryResponsible for assembling boxes and properly aligning them on packing machine to be filled with product.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources.
$72,717 - $117,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Analyze and parse data in a variety of geospatial file formats and databases for machine learning and algorithm optimization, testing, and validation. Master's or PhD degree in STEM field (Electrical Engineering, Physics, Computer Engineering, Remote Sensing, or another relevant technical field.
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Familiarity with Machine Learning/Artificial Intelligence (professional or personal research) Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS); Shall have demonstrated work experience with Serialization such as JSON and/or BSON.
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PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
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The Big Data platform supports operational real-time event-based processing and compute applications as well as analytics consumption use cases including machine/deep learning. Leverage GPU implementation to enable advanced Machine Learning.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
$80,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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If you have any prior experience in sales, recruitment, HR technology, or machine learning technology, please mention it. Adopts a tech-driven work style and values experimentation, innovation, and continuous learning.
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By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. Our employee has an opportunity for continuous learning as a front-end developer with improving your SPA development and other skills while performing code review and improving CI/CD processes and automation.
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