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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Utilizing methods such as statistical analysis, natural language understanding and optimization, and deep learning. Deep Learning Research: Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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Experience with natural language processing (NLP) is a plus. As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
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PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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We are looking for a proactive self-starter with extensive expertise in data operations at scale, a deep understanding of AI, chatbots, and large language models (LLMs), and a strong commitment to continuously enhancing our machine learning data pipelines and infrastructure.
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IonsAdvanced proficiency in python programming and experience working with libraries like numpy, pandas and NLP (natural language processing) framewo. Demonstrated experience working with cloud AI managed services like AWS Bedrock/SageMaker, AWS CloudWhisperer, and integrating large language models like Azure OpenAI, Google Vertex and open-source mo.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Typical projects include upstream, midstream, and downstream facilities such as compressor stations, LNG, and processing facilities. Previous experience working with upstream, midstream, and downstream facilities such as compressor stations, LNG, and processing facilities.
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Implementation of Supervised and Unsupervised model development techniques What You Will Bring: Advanced NLP Development : Design, develop, and optimize the Natural Language Processing (NLP) models using state-of-the-art techniques, with a focus on understanding complex language structures, semantics, and context.
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Digital Design Team is seeking a motivated and experienced Senior Verification Engineer to tackle novel verification challenges in FPGAs and ASICs∯*∯ In this role, you will apply modern verification strategies to complex digital and mixed-signal designs in the areas of embedded security, cryptography, signal and image processing, navigation and communications.
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machine learning natural language processing deep engineer jobs Company: Cisco in Boston, MA
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