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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Configure and customize Microsoft Dynamics 365 applications using Forms, Native and Custom Entities, Plugins (JavaScript, C#), Microsoft Flows, PowerBI, PowerApps, Azure IoT Suite, AppSource and third party applications, Azure Machine Learning, and SSRS Reports.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. Knowledge of machine learning algorithms and techniques. Role: Data Management Developer.
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Experience deploying machine learning models to the cloud (AWS, GCP, Azure) with Infrastructure as Code (IAC) technologies like Terraform a plus. will deploy state-of-the-art machine learning models to the cloud and develop an intuitive application for user interaction and data visualization, leveraging modern technologies like Terraform, HTMX, and Ansible to ensure a seamless, scalable, and interactive experience.
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You will leverage your expertise in quantitative finance, machine learning, and data science to develop advanced models and analytics that drive trading strategies. Experience with machine learning models, Google Cloud Platform, cloud data warehouses, and distributed compute frameworks would be advantageous.
$275,000 - $325,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Design and optimize algorithmic trading strategies utilizing statistical and mathematical models, including Machine Learning and other Probability-driven models. Knowledge of Machine Learning & Bayesian techniques and libraries (e.g., Scikit Learn, TensorFlow, PyTorch) for developing predictive models.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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The successful candidate will have shared responsibility for delivering established products, building new technologies into customer solutions, and establishing new algorithms for molecular modeling and machine learning in drug discovery.
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Proven experience as a Python/Power BI Developer or Business Intelligence Developer. Python Developer - NYC | Wissen Technology - Hybrid. Python Developer – NYC | Wissen Technology - Fulltime.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). As a Field Solutions Developer II for Generative AI, you will support the Google Cloud Sales organization.
$142,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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BS, MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics. Experience with machine learning is a plus. DV Energy is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Energy to grow into one of the largest financial participants within the global energy complex.
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Utilize Databricks for data processing, analytics, and machine learning tasks. Title-Senior Database Developer Location-New York, NY Responsibilities: Design and develop scalable database solutions using Microsoft SQL Server and Azure SQL Create and optimize database schemas, tables, indexes, and stored proceduresImplement data pipelines using Azure Pipeline for efficient data movement and transformation.
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Implementing advanced algorithms and machine learning models for anomaly detection, pattern recognition, and threat classification. Must be able to operate standard office equipment, such as a computer, copy machine, and printer.
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machine job Title: developer in New York, Bentonville, Kansas
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