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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Required Skills: Python, R, SQL, Tableau, PowerBI, HTML/CSS, Git, Docker, Microsoft Azure, Statistical Analysis, Data Visualization, Clustering, Predictive Modeling, Data Mining, Machine Learning, Natural Language Processing, A/B Testing, Object Oriented Programming.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Should have experience in both functional programming and Spark SQL programming dealing with processing terabytes of data · Specifically, this experience must be in writing Big Data Data engineering jobs for large scale data integration in AWS. · Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
$70 - $75 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal candidate will have a foundational understanding of machine learning, data annotation, data handling, quality assurance, and natural language processing.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Leidos Innovations Center is looking for a Principal Research Scientist in Natural Language Processing (NLP) who has a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Relevant experience in multimodal data, to include: speech, image, video or text processing and/or data science, applied machine learning or artificial intelligence across the disciplines of Human Language Technology (HLT), Computer Vision (CV), Natural Language Processing (NLP) and Natural Language Understanding (NLU.
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Experience designing and developing Big Data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Strong understanding of Google Cloud Platform services and their applications in data engineering and analytics, including Big Query, Vertex AI.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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Minimum of three to five years of experience as an analyst with a top investment firm, investment bank, global commodity trading firm, institutional metals and mining investment manager or similar organization, which might include experience in private equity, leveraged finance, merchant banking, buy-side M&A and/or principal investing experience.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Proficient in large-scale data processing including batch and streaming, query engines, tooling, and storage formats.
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