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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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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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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.
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Experience building complex, real-time systems involving Computational Linguistics including NLP techniques such as NLU, NLG, multilingual multilabel classifiers, clustering, machine translation and information retrieval.
$240,100 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of most of the following: Social Emotional Learning (SEL), trauma-informed practices, restorative justice, EL Roadmap, EL best practices, QPLS, CPSEL, Common Core and NGSS Standards, SBAC, Adult Learning Theory, Coherence Framework, data analysis protocols, Community Schools, Project-based learning, team development, strategic planning.
$83,651 - $109,050 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The URBS-lab focuses on the development and application of machine learning, artificial intelligence, and statistical methodologies targeting a variety of domains and data types within biomedical research.
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Norton Rose Fulbright is seeking a registered Patent Agent with a degree and/or experience in biophysics, biomedical engineering, computational biology, bioinformatics, data science or AI/ML (advanced degree preferred) to join the firm's IP Transactions and Patent Prosecution practice.
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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Apply computational biology approaches that includes machine learning/AI techniques, data integration, and biological knowledge. Help with Machine Learning and Analytical approaches.
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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.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
$34 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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At Metropolis, we are building the next-gen end-to-end data ecosystem including Data Ingestion, Data Warehousing, Data Integration, Analytic Data Products and Machine Learning capabilities.
$140,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
RemoteExpandApply NowActive JobUpdated 16 days ago
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