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The ideal candidate will have a strong background in software development, natural language processing (NLP), and machine learning (ML), along with a passion for creating intuitive and user-friendly conversational interfaces.
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Utilize natural language processing (NLP) and machine learning techniques to create context-aware, personalized and adaptable chatbots. We are seeking a highly-skilled AI Curriculum and Chatbot Development Specialist with expertise in Machine Learning, Data Science and Artificial Intelligence, with strong programming skills to develop innovative AI-focussed curriculum for various age-groups and skill levels (from middle school through college-age) and design chatbots to support the learning of this curriculum.
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Design and Develop Pipelines: You'll create scalable data processing pipelines using Azure Databricks and PySpark/Scala. Machine Learning Workflows: Implement and optimize machine learning workflows using Databricks' integrated machine learning capabilities.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our customer is seeking a dedicated and detail-oriented individual to join their team as an Azure Data Engineer, with hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.
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Solid understanding of conversational dialog systems, natural language processing (NLP) fundamentals, and machine learning. Knowledge and understanding of Artificial Intelligence (AI) disciplines such as Machine Learning or Natural Language Processing.
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As a senior AI/ML - NLP Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications.
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Arthur is looking for a product-focused Machine Learning Engineer to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers.
$160,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
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Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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Strong understanding of Java programming language and data structures. Title: Senior Java Software Engineer (Loan IQ) Loan IQ Data Conversion Tool ( DCT ) Title: Senior Software Engineer (Loan IQ) - 603.
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Experience with Databricks for data engineering, analytics, and machine learning. Utilize Databricks for data engineering, analytics, and machine learning tasks. Strong proficiency in Azure cloud technologies, including Azure SQL Database, Azure Cosmos DB, Azure Data Factory, Azure Data Lake, and Azure Databricks.
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learning natural language processing engineer data jobs Company: Flatiron Health in New York, NY
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