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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. - Deep Learning. - AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery. + Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies.
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To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. - Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.
$170,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and implement scalable and reproducible machine learning pipelines for 3D shape quantification on data from microscopy image-based assays. We seek a motivated, knowledgeable, and team-oriented scientist with excellent machine learning knowledge, interested in applying these skills to biology as part of the Computational Cell Science team in the Allen Institute for Cell Science.
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You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. Advanced degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
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Golang, Python;•Experience contributing to the large scale systems, multi-tenant systems (architecture, reliability and scaling);•Experience contributing to GPU architecture, GPU cluster;•Familiar with Kubernetes / Kubeflow / YARN / Mesos orchestrations;•Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other);•Familiar with the front-end and back-end technologies, such as Django / Flask / NodeJS / React, etc.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. Knowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorch.
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Senior Deep Learning Data Scientist, AI Solutions THE ROLE: This role will be part of the team of Software Engineers that are designing the next generation of ML and AI into the Enterprise Data Center GPU space.
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Experience building complex software systems that have been successfully delivered to customers, especially involving deep learning, machine learning and computer vision. As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring key performance indicators like spend and conversions for the marketing campaigns.
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To be successful in this role, you will need to have experience in developing firmware for FPGbased avionics systems, as well as a deep understanding of FPGA development languages such as VHDL or Verilog.
$150Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are seeking a highly motivated, experienced, and talented Machine Learning Engineer to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
$152,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
data science engineer deep learning jobs Company: Baptist Health South Florida in Seattle, WA
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