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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on development experience with LLMs, deep learning NLP models and traditional ML techniques. Academic and/or experience in fields related to machine learning, deep learning and/or data science.
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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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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Strong knowledge and practical experience in AI technologies, such as machine learning, natural language processing (NLP), and computer vision. Jones Lang LaSalle, an international commercial real estate firm is looking for a senior software Engineer to build and support AI and data-based applications for its investment management business.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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As a Technical Lead, you will play a crucial role in mentoring and guiding our talented team of data scientists, ensuring the successful delivery of projects and driving innovation in our NLP and unstructured data solutions.
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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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Experience in traditional machine learning in NLP and deep learning. Experience mentoring data scientists and fostering a culture of continuous learning. Pay Transparency Statement: Alight considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate’s experience, education, certification/credentials, market data, internal equity, and geography.
$130,100 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Develop, optimize, validate, and deploy statistical and machine learning algorithms (e.g. GLM, Nave Bayes, time series, random forests, neural networks, clustering, NLP, GAN, LLM). Provide statistics, machine learning, and business intelligence expertise on projects based on large-scale data.
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Hands-on developer of internal models/processes such as machine learning models, numerical optimization, recommender systems, NLP and Generative AI, time-series forecasting, statistical significance testing, operational ml-as-a-service API development, and streaming event data processing.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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NLP for Unstructured Data (Preferred) : Leverage Natural Language Processing (NLP) techniques to extract information from unstructured text such as study abstracts, transforming them into structured features or vectors for machine learning models.
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At least 1 year of experience with machine learning and various subfields (deep learning, Graph ML, NLP, explainability, etc.) The Capital One Tech Incubator focuses on machine learning research.
InternExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU. 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 7 days ago - UpvoteDownvoteShare Job
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Projects mostly focus on building leading edge ML platforms and products, where the work involves a variety of modern software engineering practices like large scale data engineering and analytics, libraries and tooling, MLOps, CI/CD, and open source, among others.
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data learning nlp jobs in Chicago, IL
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