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AI/ML related capabilities such as Aure ML, AWS Sage Maker, Azure OpenAI, AWS Bedrock, etc. 4+ years' experience working with cloud providers such as AWS and Azure, esp. Working knowledge of machine learning techniques and predictive modeling.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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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. Senior Machine Learning Engineer.
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Machine Learning Engineer. Good fundamentals of machine learning and deep learning. Experience in deploying models to cloud services like AWS, Azure, GCP.
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The Opportunity:As a Lead Machine Learning Engineer, you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value.
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You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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That's why we need you, a Machine Learning (ML) Cloud and DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of our Agile developers creating AI products.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Machine Learning Software Engineer. 2+ years of experience deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure. Knowledge of cloud and virtualization-based technologies, including Docker, Azure, or Amazon Web Services (AWS.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science to propose innovative ideas and techniques for improving existing systems.
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SAIC invites applications from exceptional candidates for the position of Machine Learning Engineer Associate in our AI Innovation Factory. Subcategory Machine Learning Engineer.
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Job Number: R0196530 Machine Learning Software Engineer. 2+ years of experience with deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure. Efficient sof tware development and machine learning teams make the most of their time by limiting the activities that take developers away from writing their code.
$75,600 - $172,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Azure Machine Learning Architect/Lead Engineer. In-depth knowledge of Azure Machine Learning for model deployment, management, and operationalization. The AI engineer will be responsible for designing, developing, and deploying AI models based on training data sets or using generative AI. The role will focus on leveraging Azure Cloud services to build enterprise-level solutions that meet the specific needs of the organization.
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Title: Machine Learning Engineer. Familiarity with Cloud computing environments such as Microsoft Azure. Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization.
$70 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale. 8+ years of experience in computer science, data science, machine learning.
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azure job Title: engineer machine learning in Mclean, VA
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