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As a Machine Learning Engineer, you will be designing, training and deploying state-of-art AI. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Possess direct experience and stay at the forefront of latest trends in machine learning, statistical test design, media mix modeling, artificial intelligence, and other data science fields.
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Strong open-source portfoliopublications at top-tier ML venuesexperience working in an early-stage startup environmentunderstanding of how machine learning models fail in the wild. Experience pushing or implementing the cutting-edge in machine learning.
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As Staff Machine Learning Engineer, you’ll conduct applied research projects involving deep learning models from start to finish. You understand why machine learning will bring about the greatest turning point in human history.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
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The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
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Expertise in machine learning, deep learning, natural language processing, and other AI techniques, with proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. " Knowledge of machine learning algorithms and techniques.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Software Resources has an immediate job opportunity for a Pipeline Engineer with a major corporation in New York, NY.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Your role will involve executing long-term projects that require substantial machine learning development to support the growth of JPMorgan Chase businesses. Collaborates with data scientists and research/machine learning engineers to deliver products to production.
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machine learning jobs Title: electrical engineer in New York, NY
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