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Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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Job Title: Machine Learning Research EngineerLocation: Chicago, IllinoisJob Description: We are seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative.
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We also partner in providing data to our players in the form of campaigns, promotions, and machine learning-based data products and recommendations. Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow.
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Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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Preferred Qualifications:Solid background and hands on experiences with building Machine learning, deep learning and AI modelsExperiences with Generative AI/LLM.Excellent understanding of algorithms and data structures and ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C.
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You will assist with developing municipal and industrial water and wastewater treatment solutions and addressing infrastructure needs and improvements for water authorities, municipalities, and private clients.
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The selected candidates should understand and be proficient in the development of thermal/mechanical solutions at the silicon, package, and system-level for semi-conductor products; data analysis and characterization, optimization of packaging for increased quality and cost improvement of high-end semiconductor products such as microprocessors.
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Position Summary: As a Virtual Cyber Security Sales Engineer at our Client, you will play a pivotal role in driving the success of our cybersecurity solutions across the United States. Virtual Cyber Security Sales Engineer.
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The Senior Controls Engineer will interact directly with the customer and lead a team of Wunderlich-Malec engineers in identifying requirements, developing specifications, and implementing/testing/commissioning/qualifying automation solutions.
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The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies spanning software, processors, storage, I/O, and networking solutions that fuel cloud, communications, enterprise, and government data centers around the world.
$186,552 - $279,772 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. The Marketing Cloud Engineer will both be designing and developing system enhancements, roadmap execution, and day-to-day operations of our marketing technology.
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Certifications: AWS Solutions Architect Certification or DevOps Engineer Professional Certification. We are hiring a Cloud Engineer for a hybrid opportunity local to Austin, Texas.
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You will be responsible for developing an aerodynamics model using computational fluid dynamics (CFD), empirical data, and wind tunnel test data. Raytheon’s Flight Sciences department, within GNC is seeking a Principal Engineer to perform in the role of Aerodynamics Lead onsite in Tucson, AZ. This position is onsite and works in a closed environment but enjoys a 9/80 work schedule (every other Friday off) and a highly collaborative team environment.
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big data machine learning solutions engineer jobs Title: machine learning engineer infrastructure in Austin, TX
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