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PhD in Natural Language Processing /computational linguistics, computer science, clinical informatics, or a related discipline or a master's degree and 5+ years of experience in applied Natural Language Processing/Machine Learning research with a proven track record of contributions to research initiatives.
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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.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
$179,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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2+ years of industry experience in Data Science/Machine Learning as a data scientist/technical lead developing ML models with a business impact. Support the design, development, testing of Machine Learning (ML) /Statistical models to not only learn from our vast amounts of data but to build new product features.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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Relevant areas include NLP, AI and Machine Learning, bioinformatics, translational bioinformatics, clinical informatics, clinical research informatics, consumer health informatics, and public health informatics.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning.
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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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machine learning jobs Company: Gradient Ai in Philadelphia, PA
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