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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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4- 8 years of experience as machine learning engineer/data scientist. Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Experience in Development and/or validating probabilistic models, Bayesian models, Decision Trees, Random Forest, Ensemble Models, Neural Networks, PCA/Preventive Crime Research, Logistic / Linear Regression, Linear / Non-Linear Optimization, Support Vector Machines, Natural Language Processing, Large language models, Graphic deep learning, audio programming.
$100,000 - $142,250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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Additionally, you will work closely with the Senior Data Architect to maintain and enhance our current infrastructure (AWS, Databricks, Tableau) to ensure data accessibility for data scientists and analysts.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Proficiency in scripting languages, such as Python or Java; Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform; Understanding of machine learning and natural language processing techniques; Experience with interfacing Knowledge Graphs with Large Language Models; Familiarity with data visualization tools and techniques.
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Proven experience as a Storage Engineer, with a focus on Dell/EMC Isilon, ECS, PowerVault, and Pure Storage Flash Array or FlashBlade technologies. As a Storage Engineer, you will primarily work with Dell/EMC Isilon, ECS, PowerVault, and Pure Storage Flash Array or FlashBlade technologies.
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machine learning natural language processing engineer data jobs Company: Veradigm in Newark, NJ
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