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Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. Data science (Experience): Sagemaker, Athena, Glue, DynamoDB, Databricks, MWAA (Airflow.
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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.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Background in python and the data science stack (numpy, scikit-learn, etc), and deep learning frameworks such as PyTorch, TensorFlow, etc. Oversees others in extracting data from existing databases or literature and preparing data for statistical machine learning analysis.
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$293,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
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Preferred Skills:Good knowledge on Natural Language Processing (NLP)Location Preference:Nashville, TNString: Data scientist and ("Machine learning" OR "ML") and "visualization" and "GCP"Apply today to join us as part of an elite IT team & let GBSI help you build the career of your dreams.
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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 developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$144,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years working in IT with a thorough understanding of SDLC and Agile development methodology 5+ years of experience in Business Intelligence and Data Science (data mining, Machine Learning, PLS, PCA), Data architect, data engineering and Big Data 3+ years of experience as BI reporting and visualization engineer, Business Objects and Tableau Administration Proficient with one or more programming languages (SQL, Java, C.
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machine learning data science jobs Company: Jpmorgan Chase Co in Raleigh, West Virginia
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