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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques.
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Bachelor’s degree in in Computer Science, Data Engineering, Machine Learning, Statistics, Applied Mathematics, Economics, or a related field with focus on computer science, data science, or programming.
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Expertise in an aspect of quantitative analysis, e.g., mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling.
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Credence has an immediate need for a Senior Advanced Analytics - Artificial Intelligence (AI)/ Machine Learning (ML) Lead/Engineers/Developers/SME to join our growing and Automation practice.
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. As a SDE on the Prime Video Persona team, you will work on machine learning and big-data engineering challenges as well as core engineering problems such as delivering reliable low-latency services, building a global solution and scaling to millions of Prime Video customers worldwide.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Bunge has an exciting opportunity available for a Principal Data Engineer.
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Position Overview We are seeking a highly motivated data engineer to join the Modeling and Digital Strategy group within the Product Development area. In this role, the data engineer will be responsible for the design and development of data architecture and pipelines to support cross functional modeling projects enabling accelerated development.
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Bachelor's degree or higher in Mathematics, Statistics, Computer Vision, Artificial Intelligence, Machine Learning, or related STEM degree program, or equivalent expert level work experience as a Test Systems Engineer.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Required technical skills Data Visualization / Data Science (Machine Learning) / Enterprise Resource Planning (ERP) skills (e.g. Python, Tableau, Spotfire, MATLAB, JavaScript, MS Access, My SQL, Minitab, JMP, Statistics, VBScript, C, R Studio, SAP, BAAN, Oracle, Advanced Excel, C.
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GE Aerospace Senior Deep Learning Engineer Boston , Massachusetts Apply Now GE Aerospace Engineering is looking for a Senior Deep Learning Engineer who is passionate about applying human-AI interactions, such as conversational AI, chatbots, search engines, simulation, pre-training for embodied agents, and embodied AI, bringing to bear foundational knowledge from areas such as deep learning, LLM, NLP, computer vision, reinforcement learning, computational statistics, and applied mathematics.
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The Data and Applied Sciences Research team leads the way in pioneering AI and machine learning innovations, specializing in deep learning, NLP, (Natural Languare Processing) LLM/GPTs (large language models/generative pretrained transformers), graph models, AutoGPTs, chatbots, etc.
$94,300 - $182,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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