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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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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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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.
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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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At least 8 years of organizational learning, facilitation and training experience working on complex international development programs, preferably in the sectors of agriculture, environment and/or food security.
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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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Each of MITRE’s R&D centers utilize our skills and expertise to address today’s cross-cutting technology challenges in domains like agile development, mobile computing, cloud engineering, cybersecurity, DevOps, human-machine teaming, user experience, virtual reality, robotics, artificial intelligence, decentralization and more.
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Quantum Research International, Inc. (Quantum) is a certified DoD Contractor providing services and products to US/Allied governments and industry in the following main areas: (1) Cybersecurity, High Performance Computing Systems, Cloud Services and Systems; (2) Space and Ground Support Systems; (3) Aviation Systems; (4) Missile Systems; (5) Artificial Intelligence/ Machine Learning Systems and Experimentation/Training; and (6) Audio Visual Systems and Services.
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Provide management and oversight of DOT service delivery in areas such as Application/Software Development, Data Analytics, Cloud Enablement, DevOps, SaaS/PaaS Implementation, Agile Transformation, Digital Modernization, and Cybersecurity.
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Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? Experience with data modeling, machine learning, data mining, statistics, or graph algorithms in academic or professional environments.
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machine learning devops jobs Title: engineer Company: Pri in Washington, DC
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