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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
$177,632 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit GatewaysWide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learningShall possess AWS Solution Architect (Associate or Pro) certification.
$143,706 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Advanced certifications in artificial intelligence, machine learning, or related fields (e.g. AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Experience with deployment, configuration, and management of diverse number of security solutions and platforms such as DLP, CASB, SIEM, EDR, Firewalls, IDS/IPS, or MDM. Play a key role in our Data Security Program with engineering the deployment, configuration, and management of data security protection technologies and data classification.
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Develop and maintain automated deployment scripts and pipelines using CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps. Support the automation of build, test, and deployment processes to improve efficiency and reliability – including troubleshooting issues in the deployment pipelines.
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Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring. Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider.
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The SCS analyst will provide analytical support to intel and targeting analysts from the other two SCS divisions by fus ing multiple intelligence sources to determine threat levels at proposed sensor deployment site and assist other analysts and targeteers in brainstorming countermeasures to reduce threats to the sensor, deployment mission, and personnel on the ground.
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Defining enterprise Continuous Integration/Continuous Deployment processes and best practicesCodifying DevOps best practices across the enterpriseDeveloping and maintaining scripts to automate tool deployment to an AWS cloud environment and other tasks.
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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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Preferred qualifications:Public/Private Cloud (AWS, Azure, GCP, Oracle)Virtualization technology (VMWare)RHEL OSSQL and no-SQL database technologiesContainer platform (OpenShift)Knowledge of CI/CD pipeline and Automation technologies for build and deployment – Ansible, JenkinsCoding knowledge supporting network/security automation.
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Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground.
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2 to 3 years of hands-on experience as a Machine Learning Engineer. We are seeking a skilled and motivated Machine Learning Engineer to join our team. leverage the AWS Machine Learning ecosystem (SageMaker, EC2/ECS, S3 buckets, etc.
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deployment machine learning jobs Title: platform engineer Company: Veterans United Home Loans in Centreville, VA
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