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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
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Artificial intelligence/machine learning/data science (e.g., large language models, ML.NET, pandas, scikit-learn, pytorch, tensorflow, R, etc.) Learning management systems (e.g., Moodle) Desired Experience: Government/military service in positions involving information technology, cybersecurity, and management of large-scale government networks Benefits: Our benefits philosophy encompasses three driving priorities: Choice, Control, and Well-being.
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Comprehensive understanding of machine learning with practical experience in frameworks like TensorFlow or scikit-learn. We are seeking a DevSecOps Specialist who is not only proficient in Python and has a deep understanding of Machine Learning but also possesses the unique capability to seamlessly blend development, security, and operational processes.
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Experience with data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). As a Customer Engineer, you will work with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers.
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Bachelor s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Programming / scripting experience with languages such as Python·Experience working with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, scikit-learn)·Programming language experience with C / C.
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You will work with Engineers leveraging third-party or open source, to build in-house Machine Learning tools & infrastructure - which will help develop reusable, high-performing Machine Learning systems, and enable fast model development, low-latency serving, and ease of model quality maintenance.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks.
$139,000 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
$110,000 - $256,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization. Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction.
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as speech, multimodality, artificial intelligence and machine learning.
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