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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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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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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - 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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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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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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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or Reinforcement Learning.
$141,400 - $259,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, HBase, Cassandra, etc. A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, statsmodels, etc.
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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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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.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today
machine natural language processing engineer data jobs Company: Flatiron Health in New York, NY
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