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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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You will design and develop and train complex machine learning models. Familiar with all components in the training of ML model, including data loader, backbone search, choice of regressors/objectives/optimizers, hyperparameter search, model finetune, model quantization/optimization/format conversion.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Causal modeling, NLP, time series, deep learning, etc. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Minimum Experience: 2 years of industry experience in dedicated machine learning or data engineering roles, or equivalent to a Master’s degree with strong emphasis in Machine learning.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of mechanical drawing or modeling experience, using SolidWorks or ProE (Creo). · Experience with laser programming and CNC machine programing. · Providing the Seachrome organization with quality feedback and use of other quality tools (Root Cause Analysis, Statistical Data, FEMA, FA) when required.
$75,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
$44.42 - $71.05 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learning. Experience with anomaly detection and synthetic data strategies for machine learning.
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Proficiency in Microsoft Power BI, including data modeling, DAX (Data Analysis Expressions), and M Query. This position will be responsible for overseeing the design, development, and implementation of business intelligence solutions, with a strong focus on Microsoft Power BI, data warehouse management, ETL processes, and statistical data analysis.
$115,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Production Machine Trainee will be trained on entry-level manufacturing duties and machines. Analytical - Synthesizes complex or diverse information; Uses intuition and experience to complement data; understands the work flows and procedures.
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Connect and integrate data from various sources, such as databases, spreadsheets, and cloud services, into Power BI datasets. Design and create interactive and visually appealing dashboards, reports, and data visualizations using Power BI.
$115,000 - $130,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Design and implement high-quality training data acquisition efforts to drive next-generation machine learning algorithms. Solve high-impact problems in content creation, including virtual production, VFX, and post-production, by applying computer graphics, computer vision, and machine learning approaches.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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Maintain awareness of and engage with cutting edge open source machine learning tools, especially those related to chemistry and materials science. Key responsibilities of this role will include training and using machine learning models to discover innovative materials, leading molecular simulation efforts, and working in close concert with our chemists, materials scientists, manufacturing team, and business development experts.
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data machine learning modeling jobs in Torrance, CA
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