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In-depth knowledge of Azure Machine Learning for model deployment, management, and operationalization. Sr. Machine Learning Architect with Azure. Extensive experience in implementing and optimizing data pipelines using Azure cloud technologies, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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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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Machine Learning Engineer. Good fundamentals of machine learning and deep learning. Experience in deploying models to cloud services like AWS, Azure, GCP. Scaling machine learning algorithms to work on massive data sets and strict SLAs.
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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.
$12Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with 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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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2+ years of experience deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure. Efficientsoftware development and machine learning (ML) teams make the most of their time by limiting the activities that take developers away from writing their code.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Design, develop, and deploy machine learning models using Azure Machine Learning and other Azure services.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Three (3) or more years of experience working with one of the cloud computing environments such as AWS, Azure, Google Cloud, required. Experience with Machine Learning enablement tools such as experiment tracking systems, feature store and similar system, preferred.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Leverage Azure's managed services, such as Azure Cognitive Services and Azure Databricks, to accelerate model development and deployment. Explore the capabilities of Azure's LLM offerings, such as Azure OpenAI Service, to enhance data analysis, natural language processing, and knowledge extraction.
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Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks. This is a client-facing and stakeholder management role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few.
$130,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
azure job Title: machine learning in Chevy Chase, MD
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