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Join our team as a Machine Learning Engineer, where you will play a pivotal role in leveraging data-driven solutions to drive innovation and business impact. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
$234,700 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines. Experience with deployment of machine learning and statistical models on a cloud and leveraging ser-vices like Amazon SageMaker and Amazon Forecast.
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A senior Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions for our customers. You’ll need to have: Master’s or PhD in Computer Science, Engineering, Mathematics, Machine Learning, similar field of study or equivalent work experience.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is looking for a forward thinking Network Operations Engineer with a mix of technical and operations leadership & management skills in networking, business process engineering, compliance, and tooling/automation to join the Edge & Network Service Coordination (ENSC) team.
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Familiarity with machine learning/artificial intelligence deployments. We are seeking an experienced Software Engineer to support software development and deployment for the Advanced Rail Technology team in Fort Worth, TX.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Progress Rail is seeking an experienced Mechanical Engineer to support driving strategy development and deployment utilizing Machine Learning for the Autonomous Train Operation team in Fort Worth, TX.
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Growing industry leader is seeking a Machine Learning Engineer for an immediate C2H opening after a long-term contract. Growing industry leader is seeking a Machine Learning Engineer for an immediate C2H opening after a long-term contract.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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They're looking to hire a self sufficient Machine Learning engineer who will develop and train an AI model to predict necessary services post-inspection, such as plumbing, to facilitate transaction closure.
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Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling. Role and Responsibilities Summary CAE USA is seeking an experienced software engineer to build and deploy cutting edge cloud-based software products for internal Research and Development and/or Department of Defense contracts.
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5+ years of experience within Artificial Intelligence, Machine Learning algorithm development, or data science. An employer is looking for an AI Engineer to sit remotely. Exposure to Azure data services like: Azure Open AI, Azure Databricks, etc.
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Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
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machine learning engineer jobs in North Richland Hills, TX
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