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And Executive leadership Strong knowledge of enterprise applications (i.e., PLM, ERP, P2P, MES) and data analysis applications/tools (i.e., MS Excel, SQL, Tableau). Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.
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We are looking for a Senior Machine Learning engineer to join us in expanding Moveworks NLU capabilities, crystallizing enterprise text into rich and actionable representations to enable magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.
$193,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Machine learning experience welcome, though not essentialHighly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferred. RelationshipsThe Senior Manager reports directly to a Senior Director within the CDSE RWE team.
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Reporting to the Treasury Manager, the Senior Staff Accountant assists the business in overseeing its treasury functions. Intermediate computer skills with programs such as MS Excel, MS Word, Outlook.
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Job Summary Job Description DUTIES: Contribute to the team responsible for performing ETL (extract transform and load) and EDA (exploratory data analysis) on data sets to extract relevant insights from large amounts of data; develop machine learning models and analytics using Python, R, and SQL; use Spark with AWS EMR and Databricks, and use AWS Lambda; use Keras, TensorFlow, Scikit.
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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage.
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The client is modernizing its IT infrastructure, through Data Modernization Accelerator and other contracts, including cloud adoption, adoption of data standards and improved public health data pipelines, application of artifi cia l intelligence ( AI ) and machine learning ( ML ) , and availability of shared analytics and visualization services.
$153,400 - $285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position requires a strong knowledge of MS Access/Excel VBA development and repo. 4+ years of experience in writing MS Access/Excel VBA code, developing and troubleshooting.
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As the “front door” of personalization and discovery, Search helps millions of listeners fall in love with the depth of our content catalog across Pandora and SiriusXM.In this role, you will leverage your expertise in machine learning, information retrieval, ranking, natural language processing, and recommendations to frame business goals as machine learning problems, research novel methods, and build machine learning systems for Search and Voice.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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We are looking for a Storage System Administrator who will help support the daily administration of storage environment across a diverse set of applications utilizing HSM (hierarchical storage manager) management software.
$87,100 - $157,450 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Skilled in data analysis techniques to isolate customer gaps; financial models to estimate the opportunity size; SWOT analysis, Porter's Five Forces, and Strategy Maps; primary research with consumers, including user interviews, surveys, conjoint analysis, and usability testing; and Machine Learning and programming languages and tools including R, SQL, and Tableau.
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We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yoursThe Opportunity 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.
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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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