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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
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You are familiar with applied data science methods, feature engineering and machine learning algorithms. We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments.
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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.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
$88,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics). 4+ years of experience in Business Intelligence/data analytics tools (Tableau, Microsoft Power BI, Dashboards, etc.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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3+ years of Field Service Tech or Heavy Equipment Mechanic experience in the mining/aggregate industries. Previous experience as a field service technician, preferably in the mining/aggregate industries.
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Additionally, skills in statistical methodologies, data mining, and machine learning within the Databricks environment are crucial for analyzing large data volumes and deriving insights.
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Design, create, maintain, and manage Enterprise Data Warehouses (EDW), data lakes, data marts, data mining, Operational Data Stores (ODS), Extract Transform Load (ETL) functions and solutions, XML, indexes, T-SQL and data manipulation scripts, stored procedures, views, functions, and forms.
$80,232 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
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Experience with deploying data/model pipelines in machine learning platforms such as AWS (SageMaker, Argo, Kedro), Docker, Databricks, Dataiku. Proficient in exploratory data analysis, data transformation, feature creation & engineering, and data visualization using programming languages including SQL, Python, PySpark along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
$104,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$130,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
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machine data mining jobs Title: machine learning engineer Company: Berkeley Medical Center
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