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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Google Cloud Professional Machine Learning Engineer certification.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Senior Machine Learning Engineer.
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Artificial intelligence and predictive analytics in health (i.e. Machine Learning, Large Language Models, Natural Language Processing ) DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning. Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
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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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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics.
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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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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Softrams is seeking a Machine Learning Engineer for a position supporting federal clients in the Baltimore-Washington metro area.
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machine learning language processing engineer data jobs Company: Veradigm
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