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Machine learning implementation and project experience using cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.) The ideal candidate will have a strong background in machine learning, data science and software engineering.
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Develop and optimize machine learning algorithms and models using Python, with a focus on performance and scalability, working very closely with the Data Scientists. Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer.
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Hands on experience developing HTTP APIs (Open API, REST, gRPC, and/or GraphQL) Experience with processing UAV (drone) or satellite imagery for modeling and analysis Experience with cloud-based machine learning platforms (i.e. AWS SageMaker , Vertex AI, etc.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Evaluate and recommend AI technologies, such as robotic process automation (RPA), natural language processing (NLP), and machine learning (ML), to optimize repetitive tasks and decision-making processes.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
$97,258 - $131,584 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
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Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS; As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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We are currently seeking an EDL Tier 1 Support Leader to form a new offshore Support Team. The team will have responsibility for monitoring and responding to the issues or failures in the Cloud Data Engineering processes for data processing and loading.
$108,472 - $200,875 a yearFull-timeRemoteExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong technical skills required to extract, transpose, and analyze Big Data housed in Teradata and Hadoop using SQL and SAS/R/Python and output through advanced visualization tools including, but not limited to, Tableau/R/Python.
$95,200 - $158,600 a yearFull-timeRemoteExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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GXP commercial software, GXP Xplorer, GXP WebView, GXP Fusion, SOCET GXP, GXP InMotion, and SOCET SET provide customers with comprehensive image and video analysis, data management and geospatial production capabilities, and state-of-the-art sensor-data processing and analytics technologies, providing compact and scalable solutions to challenging problems in areas of video analytics, sensor data processing, computer vision, and machine learning.
$102,200 - $173,700 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience writing queries and building data structures from cloud-based datastores like AWS Aurora Postgres, Google BigQuery, Elasticsearch, etc. Experience with cloud-based machine learning platforms (i.e. AWS Sagemaker , Vertex AI, etc.
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Experience in reinforcement learning (RL) and natural language processing (NLP) Experience in data wrangling and modeling in Python or similar language and collaborate using Git.
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
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