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Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus Good to have SAS, R, KNIME, Matlab Experience with data visualization and business intelligence tools like Tableau Modeling experience in card industry or financial service company using for fraud, credit risk, payments is plus Proficiency in designing & solving classification/prediction problems using open-source libraries.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Having experience with building machine learning models, data modeling, NLP models or LLMs is a plusHaving experience with orchestrators like Netflix's Conductor service is also a plusYou have experience with cloud development, which may include Kubernetes, Docker or other related technologies.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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AWS or GCP) and developing machine learning models in a cloud environment. Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results.
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Lead innovative research projects aimed at enhancing the security of machine learning models. Perform regular security assessments that can include threat modeling and Arch/design reviews of AI systems and applications that can be in-house developed and from third parties.
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Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research. Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentation.
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This role will utilize Machine Learning or NLP/LLM modeling to improve data impact and efficiency. This role will utilize Machine Learning or NLP/LLM modeling to improve data impact and efficiency.
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The Data Product Architect will embed themselves in Data Product teams and support all aspects of data ingestion, data engineering, design, data modeling, data as a service and machine learning , guiding engineers and analytics teams such that the best decisions are being made at every turn and better quality data products are produced.
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Proven track record of Problem Solving, Data Analysis Skills including statistical analysis and modeling or computer programming (SQLPathFinder or JUMP Script or Python or AI/Machine Learning.
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Apply machine learning algorithms, such as regression, decision trees, and ensemble methods, to develop predictive models. Utilize predictive modeling techniques to build and evaluate models that forecast future outcomes and performance.
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AMP Robotics is hiring a Sr Machine Learning Engineer, In this role, you would be an individual contributor on our deep learning modeling team, working on research and development projects to help us implement state of the art deep learning techniques.
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Center 2 (19050), United States of America, McLean, VirginiaLead Machine Learning Engineer, Finance TechAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Cloud experience (Clusters, Databricks, iquery, Teradata Native Object Store, AWS S3, GovCloud, Python, Jupiter.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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