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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Vertex Pharmaceuticals is seeking a machine learning expert to lead machine learning efforts in the Data and Computational Sciences (DCS) team, which is responsible for the data science and computational science efforts for all of Global Research at Vertex.
$282,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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Write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, apply machine learning to train predictive models, and use the right combination of tools and frameworks to turn complex sets of disparate data points into objective answers that inform decisions.
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Explore various statistical and machine learning models, explore data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric data.
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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
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100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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Contributions to open-source projects related to data science and machine learning. Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative.
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machine learning jobs Title: sr data scientist Company: Amazon Corporate Llc
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