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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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The Hartford is seeking a Director and Data Engineer within Actuarial to lead machine learning engineers to design, develop, and implement modern and sustainable MLOps framework to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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Proficiency in using Machine Learning frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc. Define strategies for modernizing and transforming how the Enterprise Data Fabric makes data available for the enterprise a variety of use cases including but not limited to real-time APIs, machine learning, reporting & analytics, automation, operational processes & decision making.
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Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and experience in deploying machine learning models in a cloud environment using platforms such as AWS SageMaker and GCP Vertex AI.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) A foundation in machine learning, deep learning, and NLP (LLM) modeling.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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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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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Individual contributor experience with both data engineering and machine learning engineering for deep learning models, preferably in a scientific application. Apply expertise to enable training and validation of machine learning models using data from multiple sources, including DEL screening experiments, to rapidly and cost effectively discover and optimize chemistries.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As 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. New York City (Hybrid On-Site): $161,900 - $184,800 for Senior Machine Learning Engineer.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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The role will lead a team of machine learning engineers to develop MLOps pipelines, develop modeling & data engineering standards and best practices, facilitate implementation of cloud services, and maintain partnership with TDAC(Technology, Data, Analytics, and Cyber) teams.
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Experience with finance data modelling, analytics and data visualization, artificial intelligence, and machine learning technologies. Weve got over 70 SAP awardsmore than any other partnerand were the leading business partner for SAP SuccessFactors, SAP Ariba, SAP Hybris, SAP FieldGlass, SAP Concur, and more.
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Business Software, Developer Tools, Home & Educational Software, Tablets, Search, Advertising, Servers, Windows Operating System, Windows Applications & Platforms, Smartphones, Cloud Computing, Quantum Computing, Future of Work, Productivity, AI, Artificial Intelligence, Machine Learning, Laptops, Mixed Reality, Virtual Reality, Gaming, Developers, and IT Professional.
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machine learning jobs in Hartford, Dover, New Hampshire
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