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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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Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications.
$134,888 - $195,624 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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10+ years of experience in natural language processing, machine learning, or a related field. You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
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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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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus.
$179,000 - $202,000 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.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques. Knowledge of data management practices across the full data life cycle, such as data strategy, requirements, design and development, data science, data governance, metadata management, data quality, business intelligence, and data security & privacy.
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop, and experience performing source to target data mapping. Demonstrated expertise in one or more areas of data management, data science, and/or data engineering.
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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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3+ Experience with Digital Signal Processing (DSP) data structures, algorithms, and software engineering principles. 3+ Experience in application of statistical and machine learning methods e.g., ANOVA, PCA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.
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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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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning natural language processing engineer data jobs Company: Veradigm
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