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Position Summary:As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs.
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Electrical, electronic engineering, information technology, machine learning, programming, python, software engineer. EHS provides a range of professional services for cyber intelligence and information technologies capabilities to the Federal Government, Civilian, and commercial markets to further the nation's national security and civilian service missions.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Lead Machine Learning Engineer. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Assist with machine learning and data visualization initiatives as needed. It offers platform-, data analytics-, and data science-as-a-service tools to complete analysis and data exploration and data visualization capabilities.
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A candidate for this role should have experience with networking devices, telecommunications, radio frequency, electronic warfare, or machine learning/ artificial intelligence systems. Title: Professional Service Engineer.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
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Are you looking to work at the forefront of Machine Learning and AI? Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2.
$105,100 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Provide SME-level expertise in development and application of artificial intelligence (AI), machine learning (ML), and natural language processes (NLP) in the context of developing information based capabilities for Army forces.
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Configure Systems Center technologies such as Operations Manager, Configuration Manager, and Service Manager. Implement DevSecOps principles and related technologies using PO directed tools such as Git, PowerShell, Ansible, Ansible Tower, Windows and Linux server administration, Continuous Integration/Continuous Delivery (CI/CD) pipelines, Amazon Web Services (AWS) Elastic Computing Cloud (EC2), Microsoft Azure Cloud Computing Services, cloud storage, REST (Representational State Transfer) application programming interfaces (REST APIs) and the Atlassian suite of tools (Jira, Confluence, and Bitbucket.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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These include cyberspace operations, electronic warfare, intelligence, data analysis and fusion, tactical network design, wireless communications, radar, sensors, electro-optics, mission command applications, autonomy and machine learning, power and energy, modeling and simulation, counter-IED, minefield detection/defeat and assured positioning, navigation and timing.
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Meet or exceed quarterly new business sales targets, focusing on closing opportunities related to core service offerings at Lovelytics, such as machine learning, business intelligence, and data engineering.
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This includes advancements in compute technology, storage solutions, database management, machine learning, analytics, automation, and cloud integration. Provide support to the Service Desk when necessary and be available on-call from 5pm to 10pm.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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