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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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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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Senior-level Machine Learning Performance Engineer. Senior Machine Learning Performance Engineer. Their Austin office is a hub for innovation, with a focus on machine learning, big data, and cutting-edge research infrastructure.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Develop production machine learning solutions batch and realtime to provide the world class merchant experience.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.
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As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Machine Learning Center of Excellence (MLCOE), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. PayPal is seeking a talented Staff Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including BrainTree, Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Organization Overview The newly-created Data Science Resource Center (DSRC) is responsible for supporting and advancing the research objectives of Rockefeller University's faculty and staff by providing training and consultative support in the field of data science - especially in the areas of machine learning and artificial intelligence (ML/AI.
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With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA. About the Role As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem.
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You will work with technologies like Python, Docker, Kubernetes, PyTorch, TensorFlow, and cloud platforms to write scalable and optimized data access patterns for real-time machine learning applications.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms. Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau.
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Title: machine engineer in Weehawken, NJ
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