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Proficiency in Python, with hands-on experience using machine learning libraries and frameworks such as Pytorch or Tensorflow Mastery of defining an engineering team’s vision and roadmap Strong ability to prioritize and communicate with technical and non-technical audiences alike.
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The technical stack typically comprises big data processing, machine learning, real-time streaming analytics and simplified visualization/interaction to give computer systems the ability to learn and automate many of the tasks that humans would normally perform manually to run the bank’s systems.
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MasterControl is looking for a Principal Machine Learning Engineer to join our Machine Learning team to help build systems that accelerate the development and deployment of machine learning models, especially large language models (LLMs.
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Familiarity with multiple machine learning or statistical packages in Python, R, MATLAB, or another programming language. Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field.
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Develop and implement machine learning optimization and predictive models for energy trading in wholesale electricity markets, with a focus on energy storage initiatives. - Create and automate machine learning time series forecasting models for energy storage, asset management, and energy trading initiatives.
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Using machine learning and alternative data, Deserve partners with universities, associations, financial institutions, fintechs, and modern consumer brands to develop, rapidly deploy and power white label and co-branded credit card programs for any audience.
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The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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As a Senior Machine Learning Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size.
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Deep expertise in data mining, statistical analysis, machine learning, and predictive modeling. Leverage predictive modeling and machine learning to forecast trends and customer behavior.
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Strong technical foundations in wielding data (data querying / transformation / visualization, machine learning, deep learning, stats, math, NLP, generative AI and LLMs) 12+ years of experience deriving insights from data and building computational software (data science, machine learning, AI, and implementing data-centric software and systems.
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We are seeking a highly-skilled and experienced Senior Machine Learning Scientist to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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Ph. D. Student Positions: Applicants should possess a strong background in math and physics, with interests in heat transfer, thermodynamics, statistical physics, molecular dynamics simulations, solid-state physics, quantum mechanics, density functional theory, machine learning, laser flash thermal conductivity measurement, and nanomaterials synthesis & characterization.
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Design and implement robust and scalable Machine Learning solutions, leveraging cutting-edge AI techniques, deep learning algorithms, and natural language processing capabilities.
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Experience with NVIDIA and at least one of the modern distributed Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, MxNet Caffe, and Keras. We’re looking for a highly technical Senior Engineer, Machine Learning & Computer Vision to help develop our pipeline and models that process hundreds of millions of georeferenced images from around the globe.
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The ideal candidate will have experience in one or more of the following: radio frequency (RF) communication systems, RF data collection and analysis, signal processing algorithms, electromagnetic (EM) modeling and simulation, antenna design, software defined radio (SDR), artificial intelligence (AI) and machine learning (ML) methods, edge computing, and sensor systems.
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machine learning jobs in Salt Lake City, UT
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