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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Artificial Intelligence / Machine Learning (Data Bricks, Amazon Sagemaker, Azure ML Studio) No One Needs To Be An Expert In Everything On Day 1 But We Are Always Learning New Things To Solve Problems, Like.
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Css, db2, etl, hadoop, information technology, information technology infrastructure library, machine learning, shell, website. Candidate will provide day-to-day management and oversight of DOT service delivery in areas such as SaaS/PaaS Implementation (notably Salesforce), Application/Software Development, Data Analytics and Visualization, Cloud Enablement, DevOps, Agile Transformation, Digital Modernization and Cybersecurity.
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Preferred) Relevant AI/ML certifications (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.) Develop solutions to address key AI challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops.
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Utilize agile project management and collaboration tools, e.g., Jira, Confluence, Azure DevOps, Miro, Lucid, Visio, Teams, SharePoint. Familiarity with Agile development methodologies and tools like Jira, Confluence, or Azure DevOps.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Software Engineer, DevOps. At least 4 years of experience in DevOps Engineering (Internship experience does not apply.
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The Learning Lab Dedicated Aide is responsible for providing educational and behavioral support to students in an atmosphere where students have the opportunity to fulfill their potential for intellectual, emotional, physical, and psychological growth.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Develop and maintain portfolio-level and project-level reporting with tools like OnePlan and Azure DevOps. Update and maintain project management data using Azure DevOps and other systems of record in the ITB. Define, develop, and provide a monthly PMO Support Data and Metrics for Projects, Programs, and the Portfolio.
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Variety of Company Sponsored Events Position Summary: As a Machine Learning Engineer, you'll deliver simple solutions to complex. Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
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Professional certification (AWS Certified Solutions Architect, AWS Certified DevOps Engineer, AWS Certified Security Specialty) At least 3 years of experience with Infrastructure as Code (IaC) tools (AWS CloudFormation, Terraform, AWS Cloud Development Kit (CDK), AWS CodePipeline.
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Experience in the use of Microsoft PowerPoint, Adobe Illustrator CS, Captivate, Storyline, Photoshop CS, InDesign, Premiere, Audition, Macromedia Flash, Visual Basic, 3D Studio Max, Learning Management Systems such as Blackboard or Moodle, preferred.
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Build and Manage Azure DevOps pipelines for CI CD and Release Management workflows. Azure DevOps configuration and management. Manage Azure DevOps repos and branch policies. LCG is looking for an Azure Architect/SME with technical expertise to design architecture for a hybrid environment with on-premise and cloud infrastructure, and business acumen to understand and translate the current and future business needs to technical specifications for systems engineers andapplication developers.
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machine learning devops jobs Title: engineer Company: Pri in Arlington, VA
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